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Xuanjing Huang 0001
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- affiliation: Fudan University, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai, China
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Journal Articles
- 2024
- [j30]Tianxiang Sun, Xiaotian Zhang, Zhengfu He, Peng Li, Qinyuan Cheng, Xiangyang Liu, Hang Yan, Yunfan Shao, Qiong Tang, Shiduo Zhang, Xingjian Zhao, Ke Chen, Yining Zheng, Zhejian Zhou, Ruixiao Li, Jun Zhan, Yunhua Zhou, Linyang Li, Xiaogui Yang, Lingling Wu, Zhangyue Yin, Xuanjing Huang, Yu-Gang Jiang, Xipeng Qiu:
MOSS: An Open Conversational Large Language Model. Mach. Intell. Res. 21(5): 888-905 (2024) - [j29]Jie Zhou, Yuanbiao Lin, Qin Chen, Qi Zhang, Xuanjing Huang, Liang He:
CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 830-840 (2024) - 2023
- [j28]Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei:
A benchmark for automatic medical consultation system: frameworks, tasks and datasets. Bioinform. 39(1) (2023) - [j27]Jiehang Zeng, Jianhan Xu, Xiaoqing Zheng, Xuanjing Huang:
Certified Robustness to Text Adversarial Attacks by Randomized [MASK]. Comput. Linguistics 49(2): 395-427 (2023) - [j26]Jie Zhou, Junfeng Tian, Rui Wang, Yuanbin Wu, Ming Yan, Liang He, Xuanjing Huang:
Multi-modal multi-hop interaction network for dialogue response generation. Expert Syst. Appl. 227: 120267 (2023) - [j25]Yige Xu, Xipeng Qiu, Ligao Zhou, Xuanjing Huang:
Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation. J. Comput. Sci. Technol. 38(4): 853-866 (2023) - [j24]Yi Zhou, Xiaoqing Zheng, Xuanjing Huang:
Chinese Named Entity Recognition Augmented with Lexicon Memory. J. Comput. Sci. Technol. 38(5): 1021-1035 (2023) - 2022
- [j23]Cheng Zhong, Kangenbei Liao, Wei Chen, Qianlong Liu, Baolin Peng, Xuanjing Huang, Jiajie Peng, Zhongyu Wei:
Hierarchical reinforcement learning for automatic disease diagnosis. Bioinform. 38(16): 3995-4001 (2022) - [j22]Tianxiang Sun, Xiangyang Liu, Xipeng Qiu, Xuanjing Huang:
Paradigm Shift in Natural Language Processing. Int. J. Autom. Comput. 19(3): 169-183 (2022) - [j21]Yusi Qi, Xiaoqing Zheng, Xuanjing Huang:
Aspect-based sentiment analysis with enhanced aspect-sensitive word embeddings. Knowl. Inf. Syst. 64(7): 1845-1861 (2022) - [j20]Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Jingyi Zhou, Tao Gui, Qi Zhang, Xuanjing Huang:
Sentiment-aware multimodal pre-training for multimodal sentiment analysis. Knowl. Based Syst. 258: 110021 (2022) - [j19]Qinzhuo Wu, Qi Zhang, Xuanjing Huang:
Automatic Math Word Problem Generation With Topic-Expression Co-Attention Mechanism and Reinforcement Learning. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1061-1072 (2022) - 2021
- [j18]Jingjing Gong, Hang Yan, Yining Zheng, Qipeng Guo, Xipeng Qiu, Xuanjing Huang:
Text information aggregation with centrality attention. Sci. China Inf. Sci. 64(12) (2021) - [j17]Jian Yuan, Zhongyu Wei, Yixu Gao, Wei Chen, Yun Song, Donghua Zhao, Jinglei Ma, Zhen Hu, Shaokun Zou, Donghai Li, Xuanjing Huang:
Overview of SMP-CAIL2020-Argmine: The Interactive Argument-Pair Extraction in Judgement Document Challenge. Data Intell. 3(2): 287-307 (2021) - [j16]Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang:
Information retrieval: a view from the Chinese IR community. Frontiers Comput. Sci. 15(1): 151601 (2021) - [j15]Zhenqiao Song, Xiaoqing Zheng, Xuanjing Huang:
Jointly learning bilingual word embeddings and alignments. Mach. Transl. 35(4): 551-569 (2021) - [j14]Yi Zhou, Xiaoqing Zheng, Xuanjing Huang:
Generating Responses With a Given Syntactic Pattern in Chinese Dialogues. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2888-2898 (2021) - [j13]Renfeng Ma, Xipeng Qiu, Qi Zhang, Xiangkun Hu, Yu-Gang Jiang, Xuanjing Huang:
Co-Attention Memory Network for Multimodal Microblog's Hashtag Recommendation. IEEE Trans. Knowl. Data Eng. 33(2): 388-400 (2021) - 2020
- [j12]Nuo Qun, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Chinese Word Segmentation via BiLSTM+Semi-CRF with Relay Node. J. Comput. Sci. Technol. 35(5): 1115-1126 (2020) - [j11]Hang Yan, Xipeng Qiu, Xuanjing Huang:
A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing. Trans. Assoc. Comput. Linguistics 8: 78-92 (2020) - 2019
- [j10]Jinlan Fu, Qi Zhang, Jifan Chen, Minlong Peng, Tao Gui, Xipeng Qiu, Xuanjing Huang:
Implicit discourse relation detection using concatenated word embeddings and a gated relevance network. Sci. China Inf. Sci. 62(11): 219102:1-219102:3 (2019) - [j9]Xiaoyu Liu, Shunda Pan, Qi Zhang, Yu-Gang Jiang, Xuanjing Huang:
Reformulating natural language queries using sequence-to-sequence models. Sci. China Inf. Sci. 62(12): 229103 (2019) - [j8]Lujun Zhao, Xipeng Qiu, Qi Zhang, Xuanjing Huang:
Sequence Labeling With Deep Gated Dual Path CNN. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 2326-2335 (2019) - 2018
- [j7]Yeyun Gong, Qi Zhang, Xuanjing Huang:
Hashtag recommendation for multimodal microblog posts. Neurocomputing 272: 170-177 (2018) - 2017
- [j6]Yeyun Gong, Qi Zhang, Xiaoying Han, Xuanjing Huang:
Phrase-based hashtag recommendation for microblog posts. Sci. China Inf. Sci. 60(1): 12109 (2017) - [j5]Hang Li, Xiang Bai, Xuanjing Huang, Chang-shui Zhang:
Preface. J. Comput. Sci. Technol. 32(4): 663-666 (2017) - 2016
- [j4]Qi Zhang, Yang Wang, Jin Qian, Xuanjing Huang:
A Mixed Generative-Discriminative Based Hashing Method. IEEE Trans. Knowl. Data Eng. 28(4): 845-857 (2016) - 2012
- [j3]Xipeng Qiu, Ling Cao, Zhao Liu, Xuanjing Huang:
Recognizing Inference in Texts with Markov Logic Networks. ACM Trans. Asian Lang. Inf. Process. 11(4): 15:1-15:23 (2012) - 2009
- [j2]Lin Zhao, Lide Wu, Xuanjing Huang:
Using query expansion in graph-based approach for query-focused multi-document summarization. Inf. Process. Manag. 45(1): 35-41 (2009) - 2008
- [j1]Qi Zhang, Xuanjing Huang, Lide Wu:
Sentiment Classification Using Supervised and Semi-Supervised Conditional Maximum Entropy Modeling. Int. J. Comput. Process. Orient. Lang. 21(4): 295-308 (2008)
Conference and Workshop Papers
- 2024
- [c340]Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang:
LLMEval: A Preliminary Study on How to Evaluate Large Language Models. AAAI 2024: 19615-19622 - [c339]Mengfei Du, Binhao Wu, Zejun Li, Xuanjing Huang, Zhongyu Wei:
EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models. ACL (Short Papers) 2024: 346-355 - [c338]Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Wei Shen, Limao Xiong, Yuhao Zhou, Xiao Wang, Zhiheng Xi, Xiaoran Fan, Shiliang Pu, Jiang Zhu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang:
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin. ACL (1) 2024: 1932-1945 - [c337]Junjie Ye, Sixian Li, Guanyu Li, Caishuang Huang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, Xuanjing Huang:
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages. ACL (1) 2024: 2181-2211 - [c336]Ting Wu, Jingyi Liu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang:
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild. ACL (1) 2024: 2227-2239 - [c335]Xinnong Zhang, Haoyu Kuang, Xinyi Mou, Hanjia Lyu, Kun Wu, Siming Chen, Jiebo Luo, Xuanjing Huang, Zhongyu Wei:
SoMeLVLM: A Large Vision Language Model for Social Media Processing. ACL (Findings) 2024: 2366-2389 - [c334]Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Junqi Dai, Qinyuan Cheng, Xuanjing Huang, Xipeng Qiu:
Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance. ACL (1) 2024: 2401-2416 - [c333]Shihan Dou, Yan Liu, Haoxiang Jia, Enyu Zhou, Limao Xiong, Junjie Shan, Caishuang Huang, Xiao Wang, Xiaoran Fan, Zhiheng Xi, Yuhao Zhou, Tao Ji, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang:
StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback. ACL (1) 2024: 4571-4585 - [c332]Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin:
Navigating the OverKill in Large Language Models. ACL (1) 2024: 4602-4614 - [c331]Xinyi Mou, Zhongyu Wei, Xuanjing Huang:
Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation. ACL (Findings) 2024: 4789-4809 - [c330]Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang:
Unveiling Linguistic Regions in Large Language Models. ACL (1) 2024: 6228-6247 - [c329]Siyin Wang, Shimin Li, Tianxiang Sun, Jinlan Fu, Qinyuan Cheng, Jiasheng Ye, Junjie Ye, Xipeng Qiu, Xuanjing Huang:
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation. ACL (Findings) 2024: 6632-6646 - [c328]Yuhang Lai, Siyuan Wang, Shujun Liu, Xuanjing Huang, Zhongyu Wei:
ALaRM: Align Language Models via Hierarchical Rewards Modeling. ACL (Findings) 2024: 7817-7831 - [c327]Yu Sun, Keyuchen Keyuchen, Shujie Wang, Peiji Li, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin:
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods. ACL (1) 2024: 9348-9369 - [c326]Xin Zhou, Yi Lu, Ruotian Ma, Yujian Wei, Tao Gui, Qi Zhang, Xuanjing Huang:
Making Harmful Behaviors Unlearnable for Large Language Models. ACL (Findings) 2024: 10258-10273 - [c325]Wenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang:
Aligning Large Language Models with Human Preferences through Representation Engineering. ACL (1) 2024: 10619-10638 - [c324]Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang:
Advancing Parameter Efficiency in Fine-tuning via Representation Editing. ACL (1) 2024: 13445-13464 - [c323]Jie Wang, Tao Ji, Yuanbin Wu, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang, Xiaoling Wang:
Length Generalization of Causal Transformers without Position Encoding. ACL (Findings) 2024: 14024-14040 - [c322]Jingcong Liang, Rong Ye, Meng Han, Ruofei Lai, Xinyu Zhang, Xuanjing Huang, Zhongyu Wei:
Debatrix: Multi-dimensional Debate Judge with Iterative Chronological Analysis Based on LLM. ACL (Findings) 2024: 14575-14595 - [c321]Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Tianxiang Sun, Cheng Chang, Qinyuan Cheng, Ding Wang, Xiaofeng Mou, Xipeng Qiu, Xuanjing Huang:
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. LREC/COLING 2024: 609-625 - [c320]Mengfei Du, Binhao Wu, Jiwen Zhang, Zhihao Fan, Zejun Li, Ruipu Luo, Xuanjing Huang, Zhongyu Wei:
DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive Learning. LREC/COLING 2024: 4605-4616 - [c319]Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang:
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. LREC/COLING 2024: 5286-5298 - [c318]Libo Sun, Siyuan Wang, Meng Han, Ruofei Lai, Xinyu Zhang, Xuanjing Huang, Zhongyu Wei:
Multi-Objective Forward Reasoning and Multi-Reward Backward Refinement for Product Review Summarization. LREC/COLING 2024: 11944-11955 - [c317]Yuhao Zhou, Wenxiang Chen, Rui Zheng, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang:
ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks. LREC/COLING 2024: 12527-12538 - [c316]Kun Wu, Xinyi Mou, Lanqing Xue, Zhenzhe Ying, Weiqiang Wang, Qi Zhang, Xuanjing Huang, Zhongyu Wei:
PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph. LREC/COLING 2024: 12644-12656 - [c315]Yuansen Zhang, Xiao Wang, Zhiheng Xi, Han Xia, Tao Gui, Qi Zhang, Xuanjing Huang:
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions. LREC/COLING 2024: 14186-14203 - [c314]Rui Zheng, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang:
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals. LREC/COLING 2024: 15410-15421 - [c313]Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Tao Gui, Qi Zhang, Xuanjing Huang:
A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis. ICASSP 2024: 10016-10020 - [c312]Rui Zheng, Wei Shen, Yuan Hua, Wenbin Lai, Shihan Dou, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang:
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning. ICLR 2024 - [c311]Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li:
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks. ICML 2024 - [c310]Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang:
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning. ICML 2024 - [c309]Zejun Li, Ye Wang, Mengfei Du, Qingwen Liu, Binhao Wu, Jiwen Zhang, Chengxing Zhou, Zhihao Fan, Jie Fu, Jingjing Chen, Zhongyu Wei, Xuanjing Huang:
ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks. ACM Multimedia 2024: 1971-1980 - [c308]Wei He, Shichun Liu, Jun Zhao, Yiwen Ding, Yi Lu, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang:
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models. NAACL-HLT (Findings) 2024: 3829-3845 - 2023
- [c307]Ting Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang:
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization. ACL (Findings) 2023: 100-113 - [c306]Limao Xiong, Jie Zhou, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma, Ying Shan:
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. ACL (Findings) 2023: 1375-1386 - [c305]Rui Zheng, Zhiheng Xi, Qin Liu, Wenbin Lai, Tao Gui, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan, Weifeng Ge:
Characterizing the Impacts of Instances on Robustness. ACL (Findings) 2023: 2314-2332 - [c304]Leiyuan Chen, Chengsong Huang, Xiaoqing Zheng, Jinshu Lin, Xuanjing Huang:
TableVLM: Multi-modal Pre-training for Table Structure Recognition. ACL (1) 2023: 2437-2449 - [c303]Hang Yan, Yu Sun, Xiaonan Li, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu:
UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction. ACL (1) 2023: 4096-4122 - [c302]Zhengfu He, Tianxiang Sun, Qiong Tang, Kuanning Wang, Xuanjing Huang, Xipeng Qiu:
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models. ACL (1) 2023: 4521-4534 - [c301]Siyuan Wang, Zhongyu Wei, Meng Han, Zhihao Fan, Haijun Shan, Qi Zhang, Xuanjing Huang:
Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs. ACL (1) 2023: 4706-4718 - [c300]Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Yuran Wang, Yong Ding, Yibo Zhang, Qi Zhang, Xuanjing Huang:
TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations. ACL (Findings) 2023: 5459-5473 - [c299]Zejun Li, Zhihao Fan, Jingjing Chen, Qi Zhang, Xuanjing Huang, Zhongyu Wei:
Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training. ACL (1) 2023: 5939-5958 - [c298]Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Xuanjing Huang:
Do Large Language Models Know What They Don't Know? ACL (Findings) 2023: 8653-8665 - [c297]Jun Zhao, Xin Zhao, WenYu Zhan, Qi Zhang, Tao Gui, Zhongyu Wei, Yun Wen Chen, Xiang Gao, Xuanjing Huang:
Open Set Relation Extraction via Unknown-Aware Training. ACL (1) 2023: 9453-9467 - [c296]Wei Chen, Shiqi Wei, Zhongyu Wei, Xuanjing Huang:
KNSE: A Knowledge-aware Natural Language Inference Framework for Dialogue Symptom Status Recognition. ACL (Findings) 2023: 10278-10286 - [c295]Tianxiang Sun, Zhengfu He, Qin Zhu, Xipeng Qiu, Xuanjing Huang:
Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning. ACL (1) 2023: 11156-11172 - [c294]Rui Zheng, Shihan Dou, Yuhao Zhou, Qin Liu, Tao Gui, Qi Zhang, Zhongyu Wei, Xuanjing Huang, Menghan Zhang:
Detecting Adversarial Samples through Sharpness of Loss Landscape. ACL (Findings) 2023: 11282-11298 - [c293]Zixuan Ling, Xiaoqing Zheng, Jianhan Xu, Jinshu Lin, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang:
Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations. ACL (Findings) 2023: 11454-11465 - [c292]Zhiheng Xi, Rui Zheng, Yuansen Zhang, Xuanjing Huang, Zhongyu Wei, Minlong Peng, Mingming Sun, Qi Zhang, Tao Gui:
Connectivity Patterns are Task Embeddings. ACL (Findings) 2023: 11993-12013 - [c291]Xinyi Mou, Zhongyu Wei, Qi Zhang, Xuanjing Huang:
UPPAM: A Unified Pre-training Architecture for Political Actor Modeling based on Language. ACL (1) 2023: 11996-12012 - [c290]Songyang Gao, Shihan Dou, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan:
On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection. ACL (Findings) 2023: 13573-13581 - [c289]Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang, Xipeng Qiu:
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors. ACL (1) 2023: 15339-15353 - [c288]Yuxin Wang, Xiannian Hu, Jiaqing Xie, Zhangyue Yin, Yunhua Zhou, Xipeng Qiu, Xuanjing Huang:
Graph Structure Learning via Lottery Hypothesis at Scale. ACML 2023: 1401-1416 - [c287]Zhangyue Yin, Yuxin Wang, Xiannian Hu, Yiguang Wu, Hang Yan, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Xipeng Qiu:
Rethinking Label Smoothing on Multi-Hop Question Answering. CCL 2023: 72-87 - [c286]Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Qi Zhang, Tao Gui, Xuanjing Huang:
RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. EMNLP (Findings) 2023: 270-277 - [c285]Wei Shen, Rui Zheng, WenYu Zhan, Jun Zhao, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang:
Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback. EMNLP (Findings) 2023: 2859-2873 - [c284]Chenxi Gu, Xiaoqing Zheng, Jianhan Xu, Muling Wu, Cenyuan Zhang, Chengsong Huang, Hua Cai, Xuanjing Huang:
Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation. EMNLP (Findings) 2023: 3685-3694 - [c283]Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang:
TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference. EMNLP (Findings) 2023: 3749-3762 - [c282]Ruotian Ma, Xiaolei Wang, Xin Zhou, Qi Zhang, Xuanjing Huang:
Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View. EMNLP 2023: 4616-4630 - [c281]Wentao Zhou, Jun Zhao, Tao Gui, Qi Zhang, Xuanjing Huang:
Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information. EMNLP (Findings) 2023: 6491-6502 - [c280]Yuliang Yan, Xiaohua Wang, Xiang Zhou, Xiaoqing Zheng, Xuanjing Huang:
Measure Children's Mindreading Ability with Machine Reading. EMNLP (Findings) 2023: 8366-8375 - [c279]Haoyu Kuang, Jiarong Xu, Haozhe Zhang, Zuyu Zhao, Qi Zhang, Xuanjing Huang, Zhongyu Wei:
Unleashing the Power of Language Models in Text-Attributed Graph. EMNLP (Findings) 2023: 8429-8441 - [c278]Muling Wu, Wenhao Liu, Jianhan Xu, Changze Lv, Zixuan Ling, Tianlong Li, Longtao Huang, Xiaoqing Zheng, Xuanjing Huang:
Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts. EMNLP (Findings) 2023: 8734-8746 - [c277]Enyu Zhou, Rui Zheng, Zhiheng Xi, Songyang Gao, Xiaoran Fan, Zichu Fei, Jingting Ye, Tao Gui, Qi Zhang, Xuanjing Huang:
RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms. EMNLP (Findings) 2023: 10262-10274 - [c276]Xiao Wang, Tianze Chen, Qiming Ge, Han Xia, Rong Bao, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang:
Orthogonal Subspace Learning for Language Model Continual Learning. EMNLP (Findings) 2023: 10658-10671 - [c275]Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, Jia Liu, Tao Gui, Qi Zhang, Xuanjing Huang:
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement. EMNLP (Findings) 2023: 11383-11406 - [c274]Ningyu Xu, Qi Zhang, Jingting Ye, Menghan Zhang, Xuanjing Huang:
Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization. EMNLP (Findings) 2023: 13951-13976 - [c273]Jingcong Liang, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei:
Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining. EMNLP 2023: 14606-14620 - [c272]Ruoxue Ma, Jiarong Xu, Xinnong Zhang, Haozhe Zhang, Zuyu Zhao, Qi Zhang, Xuanjing Huang, Zhongyu Wei:
One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling. EMNLP (Findings) 2023: 15034-15045 - [c271]Zhangyue Yin, Qiushi Sun, Cheng Chang, Qipeng Guo, Junqi Dai, Xuanjing Huang, Xipeng Qiu:
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication. EMNLP 2023: 15135-15153 - [c270]Xiaohua Wang, Yuliang Yan, Longtao Huang, Xiaoqing Zheng, Xuanjing Huang:
Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation. EMNLP 2023: 15361-15371 - [c269]Jiayu Lin, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei:
Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation. EMNLP 2023: 16705-16720 - [c268]Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf:
From Hypergraph Energy Functions to Hypergraph Neural Networks. ICML 2023: 35605-35623 - 2022
- [c267]Jianhan Xu, Cenyuan Zhang, Xiaoqing Zheng, Linyang Li, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang:
Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples. ACL (Findings) 2022: 1694-1707 - [c266]Rui Zheng, Bao Rong, Yuhao Zhou, Di Liang, Sirui Wang, Wei Wu, Tao Gui, Qi Zhang, Xuanjing Huang:
Robust Lottery Tickets for Pre-trained Language Models. ACL (1) 2022: 2211-2224 - [c265]Tianxiang Sun, Xiangyang Liu, Wei Zhu, Zhichao Geng, Lingling Wu, Yilong He, Yuan Ni, Guotong Xie, Xuanjing Huang, Xipeng Qiu:
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation. ACL (Findings) 2022: 2409-2421 - [c264]Xiao Wang, Shihan Dou, Limao Xiong, Yicheng Zou, Qi Zhang, Tao Gui, Liang Qiao, Zhanzhan Cheng, Xuanjing Huang:
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective. ACL (1) 2022: 5590-5600 - [c263]Qin Liu, Rui Zheng, Bao Rong, Jingyi Liu, Zhihua Liu, Zhanzhan Cheng, Liang Qiao, Tao Gui, Qi Zhang, Xuanjing Huang:
Flooding-X: Improving BERT's Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning. ACL (1) 2022: 5634-5644 - [c262]Zichu Fei, Qi Zhang, Tao Gui, Di Liang, Sirui Wang, Wei Wu, Xuanjing Huang:
CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation. ACL (1) 2022: 6896-6906 - [c261]Siyuan Wang, Zhongyu Wei, Zhihao Fan, Qi Zhang, Xuanjing Huang:
Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering. COLING 2022: 1655-1665 - [c260]Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang:
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. COLING 2022: 1990-2000 - [c259]Shihan Dou, Rui Zheng, Ting Wu, Songyang Gao, Junjie Shan, Qi Zhang, Yueming Wu, Xuanjing Huang:
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective. COLING 2022: 2278-2287 - [c258]Lei Chen, Guanying Li, Zhongyu Wei, Yang Yang, Baohua Zhou, Qi Zhang, Xuanjing Huang:
A Progressive Framework for Role-Aware Rumor Resolution. COLING 2022: 2748-2758 - [c257]Rui Zheng, Rong Bao, Qin Liu, Tao Gui, Qi Zhang, Xuanjing Huang, Rui Xie, Wei Wu:
PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack. COLING 2022: 2873-2882 - [c256]Chenxin An, Ming Zhong, Zhiyong Wu, Qin Zhu, Xuanjing Huang, Xipeng Qiu:
CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization. COLING 2022: 5783-5793 - [c255]Zhichao Geng, Ming Zhong, Zhangyue Yin, Xipeng Qiu, Xuanjing Huang:
Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning. COLING 2022: 6540-6546 - [c254]Zichu Fei, Xin Zhou, Tao Gui, Qi Zhang, Xuanjing Huang:
LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases. COLING 2022: 6575-6585 - [c253]Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang:
Causal Intervention Improves Implicit Sentiment Analysis. COLING 2022: 6966-6977 - [c252]Xin Zhou, Ruotian Ma, Yicheng Zou, Xuanting Chen, Tao Gui, Qi Zhang, Xuanjing Huang, Rui Xie, Wei Wu:
Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks. COLING 2022: 7053-7064 - [c251]Yinzi Li, Wei Chen, Zhongyu Wei, Yujun Huang, Chujun Wang, Siyuan Wang, Qi Zhang, Xuanjing Huang, Libo Wu:
A Structure-Aware Argument Encoder for Literature Discourse Analysis. COLING 2022: 7093-7098 - [c250]Xiangyang Liu, Tianxiang Sun, Xuanjing Huang, Xipeng Qiu:
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts. EMNLP (Findings) 2022: 1325-1338 - [c249]Tianxiang Sun, Junliang He, Xipeng Qiu, Xuanjing Huang:
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation. EMNLP 2022: 3726-3739 - [c248]Tianxiang Sun, Zhengfu He, Hong Qian, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu:
BBTv2: Towards a Gradient-Free Future with Large Language Models. EMNLP 2022: 3916-3930 - [c247]Songyang Gao, Shihan Dou, Qi Zhang, Xuanjing Huang:
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding. EMNLP 2022: 4112-4122 - [c246]Jianhan Xu, Linyang Li, Jiping Zhang, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang:
Weight Perturbation as Defense against Adversarial Word Substitutions. EMNLP (Findings) 2022: 7054-7063 - [c245]Ningyu Xu, Tao Gui, Ruotian Ma, Qi Zhang, Jingting Ye, Menghan Zhang, Xuanjing Huang:
Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer? EMNLP 2022: 8073-8092 - [c244]Zhiheng Xi, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang:
Efficient Adversarial Training with Robust Early-Bird Tickets. EMNLP 2022: 8318-8331 - [c243]Xin Zhou, Jinzhu Lu, Tao Gui, Ruotian Ma, Zichu Fei, Yuran Wang, Yong Ding, Yibo Cheung, Qi Zhang, Xuanjing Huang:
TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion. EMNLP 2022: 8360-8371 - [c242]Zichu Fei, Qi Zhang, Xin Zhou, Tao Gui, Xuanjing Huang:
ProofInfer: Generating Proof via Iterative Hierarchical Inference. EMNLP 2022: 10883-10892 - [c241]Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu:
Black-Box Tuning for Language-Model-as-a-Service. ICML 2022: 20841-20855 - [c240]Yuxin Wang, Chu-Tak Lee, Qipeng Guo, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu:
What Dense Graph Do You Need for Self-Attention? ICML 2022: 22752-22768 - [c239]Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Haijun Shan, Xuanjing Huang, Jianqing Fan:
Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval. ICMR 2022: 137-145 - [c238]Zejun Li, Zhihao Fan, Huaixiao Tou, Jingjing Chen, Zhongyu Wei, Xuanjing Huang:
MVPTR: Multi-Level Semantic Alignment for Vision-Language Pre-Training via Multi-Stage Learning. ACM Multimedia 2022: 4395-4405 - [c237]Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Xuanjing Huang, Jianqing Fan:
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval. NAACL-HLT (Findings) 2022: 2667-2678 - [c236]Xiangyang Liu, Tianxiang Sun, Junliang He, Jiawen Wu, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu:
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline. NAACL-HLT 2022: 3288-3303 - [c235]Ruotian Ma, Xin Zhou, Tao Gui, Yiding Tan, Linyang Li, Qi Zhang, Xuanjing Huang:
Template-free Prompt Tuning for Few-shot NER. NAACL-HLT 2022: 5721-5732 - [c234]Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang:
CoNT: Contrastive Neural Text Generation. NeurIPS 2022 - [c233]Lihao Wang, Yi Zhou, Yiqun Wang, Xiaoqing Zheng, Xuanjing Huang, Hao Zhou:
Regularized Molecular Conformation Fields. NeurIPS 2022 - [c232]Hang Yan, Yu Sun, Junqi Dai, Xiangkun Hu, Qipeng Guo, Xipeng Qiu, Xuanjing Huang:
BART-Reader: Predicting Relations Between Entities via Reading Their Document-Level Context Information. NLPCC (1) 2022: 159-171 - 2021
- [c231]Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Enhancing Scientific Papers Summarization with Citation Graph. AAAI 2021: 12498-12506 - [c230]Zejun Li, Zhongyu Wei, Zhihao Fan, Haijun Shan, Xuanjing Huang:
An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-level Structural Information. AAAI 2021: 13324-13332 - [c229]Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu:
Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling. AAAI 2021: 14665-14673 - [c228]Yicheng Zou, Jun Lin, Lujun Zhao, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu:
Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders. AAAI 2021: 14674-14682 - [c227]Zhichao Geng, Hang Yan, Xipeng Qiu, Xuanjing Huang:
fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP. ACL (demo) 2021: 99-106 - [c226]Xiaonan Li, Yunfan Shao, Tianxiang Sun, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Accelerating BERT Inference for Sequence Labeling via Early-Exit. ACL/IJCNLP (1) 2021: 189-199 - [c225]Xiao Wang, Qin Liu, Tao Gui, Qi Zhang, Yicheng Zou, Xin Zhou, Jiacheng Ye, Yongxin Zhang, Rui Zheng, Zexiong Pang, Qinzhuo Wu, Zhengyan Li, Chong Zhang, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Shan Qin, Bolin Zhu, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang:
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. ACL (demo) 2021: 347-355 - [c224]Chong Li, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang:
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models. ACL/IJCNLP (2) 2021: 441-446 - [c223]Xinyi Mou, Zhongyu Wei, Lei Chen, Shangyi Ning, Yancheng He, Changjian Jiang, Xuanjing Huang:
Align Voting Behavior with Public Statements for Legislator Representation Learning. ACL/IJCNLP (1) 2021: 1236-1246 - [c222]Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou:
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. ACL/IJCNLP (Findings) 2021: 1405-1418 - [c221]Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang, Liang He:
Attending via both Fine-tuning and Compressing. ACL/IJCNLP (Findings) 2021: 2152-2161 - [c220]Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang:
Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble. ACL/IJCNLP (1) 2021: 5482-5492 - [c219]Qinzhuo Wu, Qi Zhang, Zhongyu Wei, Xuanjing Huang:
Math Word Problem Solving with Explicit Numerical Values. ACL/IJCNLP (1) 2021: 5859-5869 - [c218]Ruotian Ma, Tao Gui, Linyang Li, Qi Zhang, Xuanjing Huang, Yaqian Zhou:
SENT: Sentence-level Distant Relation Extraction via Negative Training. ACL/IJCNLP (1) 2021: 6201-6213 - [c217]Jinlan Fu, Xuanjing Huang, Pengfei Liu:
SpanNER: Named Entity Re-/Recognition as Span Prediction. ACL/IJCNLP (1) 2021: 7183-7195 - [c216]Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wang, Xuanjing Huang:
Fine-Grained Element Identification in Complaint Text of Internet Fraud. CIKM 2021: 3268-3272 - [c215]Zhihao Fan, Zhongyu Wei, Siyuan Wang, Ruize Wang, Zejun Li, Haijun Shan, Xuanjing Huang:
TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning. IJCAI 2021: 657-663 - [c214]Jinlan Fu, Liangjing Feng, Qi Zhang, Xuanjing Huang, Pengfei Liu:
Larger-Context Tagging: When and Why Does It Work? NAACL-HLT 2021: 1463-1475 - [c213]Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang:
Mask Attention Networks: Rethinking and Strengthen Transformer. NAACL-HLT 2021: 1692-1701 - [c212]Lu Ji, Zhongyu Wei, Jing Li, Qi Zhang, Xuanjing Huang:
Discrete Argument Representation Learning for Interactive Argument Pair Identification. NAACL-HLT 2021: 5467-5478 - [c211]Yige Xu, Yichao Luo, Yicheng Zhou, Zhengyan Li, Qi Zhang, Xipeng Qiu, Xuanjing Huang:
Searching Effective Transformer for Seq2Seq Keyphrase Generation. NLPCC (2) 2021: 86-97 - [c210]Jian Yuan, Liying Cheng, Ruidan He, Yinzi Li, Lidong Bing, Zhongyu Wei, Qin Liu, Chenhui Shen, Shuonan Zhang, Changlong Sun, Luo Si, Changjian Jiang, Xuanjing Huang:
Overview of Argumentative Text Understanding for AI Debater Challenge. NLPCC (2) 2021: 548-568 - 2020
- [c209]Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Learning Sparse Sharing Architectures for Multiple Tasks. AAAI 2020: 8936-8943 - [c208]Ruize Wang, Zhongyu Wei, Piji Li, Qi Zhang, Xuanjing Huang:
Storytelling from an Image Stream Using Scene Graphs. AAAI 2020: 9185-9192 - [c207]Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang:
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features. AAAI 2020: 10877-10884 - [c206]Ruotian Ma, Minlong Peng, Qi Zhang, Zhongyu Wei, Xuanjing Huang:
Simplify the Usage of Lexicon in Chinese NER. ACL 2020: 5951-5960 - [c205]Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Extractive Summarization as Text Matching. ACL 2020: 6197-6208 - [c204]Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang:
Heterogeneous Graph Neural Networks for Extractive Document Summarization. ACL 2020: 6209-6219 - [c203]Xiaoqing Zheng, Jiehang Zeng, Yi Zhou, Cho-Jui Hsieh, Minhao Cheng, Xuanjing Huang:
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples. ACL 2020: 6600-6610 - [c202]Xiaonan Li, Hang Yan, Xipeng Qiu, Xuanjing Huang:
FLAT: Chinese NER Using Flat-Lattice Transformer. ACL 2020: 6836-6842 - [c201]Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang:
An Enhanced Knowledge Injection Model for Commonsense Generation. COLING 2020: 2014-2025 - [c200]Ruize Wang, Zhongyu Wei, Ying Cheng, Piji Li, Haijun Shan, Ji Zhang, Qi Zhang, Xuanjing Huang:
Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication. COLING 2020: 2250-2260 - [c199]Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang:
CoLAKE: Contextualized Language and Knowledge Embedding. COLING 2020: 3660-3670 - [c198]Lei Chen, Zhongyu Wei, Jing Li, Baohua Zhou, Qi Zhang, Xuanjing Huang:
Modeling Evolution of Message Interaction for Rumor Resolution. COLING 2020: 6377-6387 - [c197]Minlong Peng, Ruotian Ma, Qi Zhang, Lujun Zhao, Mengxi Wei, Changlong Sun, Xuanjing Huang:
Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons. EMNLP (Findings) 2020: 678-688 - [c196]Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, Xuanjing Huang:
Uncertainty-Aware Label Refinement for Sequence Labeling. EMNLP (1) 2020: 2316-2326 - [c195]Xipeng Qiu, Hengzhi Pei, Hang Yan, Xuanjing Huang:
A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder. EMNLP (Findings) 2020: 2887-2897 - [c194]Lu Liu, Yi Zhou, Jianhan Xu, Xiaoqing Zheng, Kai-Wei Chang, Xuanjing Huang:
Cross-Lingual Dependency Parsing by POS-Guided Word Reordering. EMNLP (Findings) 2020: 2938-2948 - [c193]Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang:
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. EMNLP (1) 2020: 3594-3605 - [c192]Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems. EMNLP (Findings) 2020: 3679-3691 - [c191]Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou:
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. EMNLP (1) 2020: 3895-3903 - [c190]Yanjian Zhang, Qin Chen, Yiteng Zhang, Zhongyu Wei, Yixu Gao, Jiajie Peng, Zengfeng Huang, Weijian Sun, Xuanjing Huang:
Automatic Term Name Generation for Gene Ontology: Task and Dataset. EMNLP (Findings) 2020: 4705-4710 - [c189]Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang:
RethinkCWS: Is Chinese Word Segmentation a Solved Task? EMNLP (1) 2020: 5676-5686 - [c188]Qinzhuo Wu, Qi Zhang, Jinlan Fu, Xuanjing Huang:
A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving. EMNLP (1) 2020: 7137-7146 - [c187]Siyuan Wang, Zhongyu Wei, Zhihao Fan, Zengfeng Huang, Weijian Sun, Qi Zhang, Xuanjing Huang:
PathQG: Neural Question Generation from Facts. EMNLP (1) 2020: 9066-9075 - [c186]Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang:
Leveraging Document-Level Label Consistency for Named Entity Recognition. IJCAI 2020: 3976-3982 - [c185]Xiaoyu Xing, Minlong Peng, Qi Zhang, Qin Liu, Xuanjing Huang:
Learning to Generate Representations for Novel Words: Mimic the OOV Situation in Training. NLPCC (1) 2020: 321-332 - [c184]Jinlan Fu, Yi Li, Qi Zhang, Qinzhuo Wu, Renfeng Ma, Xuanjing Huang, Yu-Gang Jiang:
Recurrent Memory Reasoning Network for Expert Finding in Community Question Answering. WSDM 2020: 187-195 - 2019
- [c183]Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Xuanjing Huang, Yu-Gang Jiang, Keyu Ding, Zhigang Chen:
Trainable Undersampling for Class-Imbalance Learning. AAAI 2019: 4707-4714 - [c182]Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang:
Long Short-Term Memory with Dynamic Skip Connections. AAAI 2019: 6481-6488 - [c181]Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung:
Contextualized Non-Local Neural Networks for Sequence Learning. AAAI 2019: 6762-6769 - [c180]Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, Xuanjing Huang:
A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation. AAAI 2019: 7168-7175 - [c179]Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Searching for Effective Neural Extractive Summarization: What Works and What's Next. ACL (1) 2019: 1049-1058 - [c178]Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang:
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning. ACL (1) 2019: 2409-2419 - [c177]Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu, Xuanjing Huang:
Generating Responses with a Specific Emotion in Dialog. ACL (1) 2019: 3685-3695 - [c176]Ning Dai, Jianze Liang, Xipeng Qiu, Xuanjing Huang:
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation. ACL (1) 2019: 5997-6007 - [c175]Zhihao Fan, Zhongyu Wei, Siyuan Wang, Xuanjing Huang:
Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning. ACL (1) 2019: 6514-6524 - [c174]Minlong Peng, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang, Jinlan Fu:
Mining User Profiles from Query Log. CCIR 2019: 3-15 - [c173]Chi Sun, Xipeng Qiu, Yige Xu, Xuanjing Huang:
How to Fine-Tune BERT for Text Classification? CCL 2019: 194-206 - [c172]Tao Gui, Qi Zhang, Liang Zhu, Xu Zhou, Minlong Peng, Xuanjing Huang:
Depression Detection on Social Media with Reinforcement Learning. CCL 2019: 613-624 - [c171]Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang:
A Lexicon-Based Graph Neural Network for Chinese NER. EMNLP/IJCNLP (1) 2019: 1040-1050 - [c170]Di Liang, Fubao Zhang, Qi Zhang, Xuanjing Huang:
Asynchronous Deep Interaction Network for Natural Language Inference. EMNLP/IJCNLP (1) 2019: 2692-2700 - [c169]Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang:
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge. EMNLP/IJCNLP (1) 2019: 3507-3512 - [c168]Tao Gui, Ruotian Ma, Qi Zhang, Lujun Zhao, Yu-Gang Jiang, Xuanjing Huang:
CNN-Based Chinese NER with Lexicon Rethinking. IJCAI 2019: 4982-4988 - [c167]Qianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong:
Building Personalized Simulator for Interactive Search. IJCAI 2019: 5109-5115 - [c166]Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang:
Learning Task-Specific Representation for Novel Words in Sequence Labeling. IJCAI 2019: 5146-5152 - [c165]Chi Sun, Xipeng Qiu, Xuanjing Huang:
VCWE: Visual Character-Enhanced Word Embeddings. NAACL-HLT (1) 2019: 2710-2719 - [c164]Minlong Peng, Qiyuan Bian, Qi Zhang, Tao Gui, Jinlan Fu, Lanjun Zeng, Xuanjing Huang:
Model the Long-Term Post History for Hashtag Recommendation. NLPCC (1) 2019: 596-608 - [c163]Di Liang, Fubao Zhang, Weidong Zhang, Qi Zhang, Jinlan Fu, Minlong Peng, Tao Gui, Xuanjing Huang:
Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection. SIGIR 2019: 95-104 - [c162]Renfeng Ma, Xiangkun Hu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang:
Hot Topic-Aware Retweet Prediction with Masked Self-attentive Model. SIGIR 2019: 525-534 - [c161]Tao Gui, Peng Liu, Qi Zhang, Liang Zhu, Minlong Peng, Yunhua Zhou, Xuanjing Huang:
Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning. SIGIR 2019: 535-544 - [c160]Lujun Zhao, Kaisong Song, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu:
Review Response Generation in E-Commerce Platforms with External Product Information. WWW 2019: 2425-2435 - 2018
- [c159]Junkun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang:
Meta Multi-Task Learning for Sequence Modeling. AAAI 2018: 5070-5077 - [c158]Jinyue Su, Jiacheng Xu, Xipeng Qiu, Xuanjing Huang:
Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method. AAAI 2018: 5496-5503 - [c157]Qi Zhang, Jinlan Fu, Xiaoyu Liu, Xuanjing Huang:
Adaptive Co-attention Network for Named Entity Recognition in Tweets. AAAI 2018: 5674-5681 - [c156]Zhongyu Wei, Qianlong Liu, Baolin Peng, Huaixiao Tou, Ting Chen, Xuanjing Huang, Kam-Fai Wong, Xiangying Dai:
Task-oriented Dialogue System for Automatic Diagnosis. ACL (2) 2018: 201-207 - [c155]Minlong Peng, Qi Zhang, Yu-Gang Jiang, Xuanjing Huang:
Cross-Domain Sentiment Classification with Target Domain Specific Information. ACL (1) 2018: 2505-2513 - [c154]Yunfan Gu, Zhongyu Wei, Maoran Xu, Hao Fu, Yang Liu, Xuanjing Huang:
Incorporating Topic Aspects for Online Comment Convincingness Evaluation. ArgMining@EMNLP 2018: 97-104 - [c153]Xiaoyu Liu, Shunda Pan, Qi Zhang, Yu-Gang Jiang, Xuanjing Huang:
Generating Keyword Queries for Natural Language Queries to Alleviate Lexical Chasm Problem. CIKM 2018: 1163-1172 - [c152]Yingmei Chen, Zhongyu Wei, Xuanjing Huang:
Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction. CIKM 2018: 1655-1658 - [c151]Yicheng Zou, Tao Gui, Qi Zhang, Xuanjing Huang:
A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis. COLING 2018: 868-877 - [c150]Zhihao Fan, Zhongyu Wei, Siyuan Wang, Yang Liu, Xuanjing Huang:
A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators. COLING 2018: 1763-1774 - [c149]Jingjing Gong, Xipeng Qiu, Shaojing Wang, Xuanjing Huang:
Information Aggregation via Dynamic Routing for Sequence Encoding. COLING 2018: 2742-2752 - [c148]Lu Ji, Zhongyu Wei, Xiangkun Hu, Yang Liu, Qi Zhang, Xuanjing Huang:
Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model. COLING 2018: 3703-3714 - [c147]Yucheng Wang, Zhongyu Wei, Yaqian Zhou, Xuanjing Huang:
Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning. EMNLP 2018: 791-797 - [c146]Jingjing Gong, Xipeng Qiu, Xinchi Chen, Dong Liang, Xuanjing Huang:
Convolutional Interaction Network for Natural Language Inference. EMNLP 2018: 1576-1585 - [c145]Tao Gui, Qi Zhang, Jingjing Gong, Minlong Peng, Di Liang, Keyu Ding, Xuanjing Huang:
Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging. EMNLP 2018: 2540-2549 - [c144]Zhihao Fan, Zhongyu Wei, Piji Li, Yanyan Lan, Xuanjing Huang:
A Question Type Driven Framework to Diversify Visual Question Generation. IJCAI 2018: 4048-4054 - [c143]Zhan Shi, Xinchi Chen, Xipeng Qiu, Xuanjing Huang:
Toward Diverse Text Generation with Inverse Reinforcement Learning. IJCAI 2018: 4361-4367 - [c142]Renfeng Ma, Qi Zhang, Jiawen Wang, Lizhen Cui, Xuanjing Huang:
Mention Recommendation for Multimodal Microblog with Cross-attention Memory Network. SIGIR 2018: 195-204 - 2017
- [c141]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Adversarial Multi-task Learning for Text Classification. ACL (1) 2017: 1-10 - [c140]Xinchi Chen, Zhan Shi, Xipeng Qiu, Xuanjing Huang:
Adversarial Multi-Criteria Learning for Chinese Word Segmentation. ACL (1) 2017: 1193-1203 - [c139]Nuo Qun, Xing Li, Xipeng Qiu, Xuanjing Huang:
End-to-End Neural Text Classification for Tibetan. CCL 2017: 472-480 - [c138]Pengfei Liu, Kaiyu Qian, Xipeng Qiu, Xuanjing Huang:
Idiom-Aware Compositional Distributed Semantics. EMNLP 2017: 1204-1213 - [c137]Tao Gui, Qi Zhang, Haoran Huang, Minlong Peng, Xuanjing Huang:
Part-of-Speech Tagging for Twitter with Adversarial Neural Networks. EMNLP 2017: 2411-2420 - [c136]Qi Zhang, Yang Wang, Jin Qian, Binbin Deng, Xuanjing Huang:
A Mixed Generative-Discriminative Based Hashing Method. ICDE 2017: 11-12 - [c135]Jiacheng Xu, Xipeng Qiu, Kan Chen, Xuanjing Huang:
Knowledge Graph Representation with Jointly Structural and Textual Encoding. IJCAI 2017: 1318-1324 - [c134]Haoran Huang, Qi Zhang, Xuanjing Huang:
Mention Recommendation for Twitter with End-to-end Memory Network. IJCAI 2017: 1872-1878 - [c133]Qi Zhang, Jiawen Wang, Haoran Huang, Xuanjing Huang, Yeyun Gong:
Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network. IJCAI 2017: 3420-3426 - [c132]Xinchi Chen, Xipeng Qiu, Xuanjing Huang:
A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging. IJCAI 2017: 3960-3966 - [c131]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Dynamic Compositional Neural Networks over Tree Structure. IJCAI 2017: 4054-4060 - [c130]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Adaptive Semantic Compositionality for Sentence Modelling. IJCAI 2017: 4061-4067 - [c129]Yuanbin Wu, Man Lan, Shiliang Sun, Qi Zhang, Xuanjing Huang:
A Learning Error Analysis for Structured Prediction with Approximate Inference. NIPS 2017: 6129-6139 - [c128]Zhan Shi, Xinchi Chen, Xipeng Qiu, Xuanjing Huang:
Hyper-Gated Recurrent Neural Networks for Chinese Word Segmentation. NLPCC 2017: 443-455 - [c127]Jin Qian, Yeyun Gong, Qi Zhang, Xuanjing Huang:
Hierarchical Dirichlet Processes with Social Influence. NLPCC 2017: 490-502 - [c126]Xipeng Qiu, Jingjing Gong, Xuanjing Huang:
Overview of the NLPCC 2017 Shared Task: Chinese News Headline Categorization. NLPCC 2017: 948-953 - [c125]Haoran Huang, Qi Zhang, Jindou Wu, Xuanjing Huang:
Predicting Which Topics You Will Join in the Future on Social Media. SIGIR 2017: 733-742 - 2016
- [c124]Jifan Chen, Qi Zhang, Pengfei Liu, Xuanjing Huang:
Discourse Relations Detection via a Mixed Generative-Discriminative Framework. AAAI 2016: 2921-2927 - [c123]Jifan Chen, Qi Zhang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network. ACL (1) 2016 - [c122]Pengfei Liu, Xipeng Qiu, Jifan Chen, Xuanjing Huang:
Deep Fusion LSTMs for Text Semantic Matching. ACL (1) 2016 - [c121]Peng Qian, Xipeng Qiu, Xuanjing Huang:
Investigating Language Universal and Specific Properties in Word Embeddings. ACL (1) 2016 - [c120]Peng Qian, Xipeng Qiu, Xuanjing Huang:
A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation. ACL (1) 2016 - [c119]Qi Zhang, Yeyun Gong, Jindou Wu, Haoran Huang, Xuanjing Huang:
Retweet Prediction with Attention-based Deep Neural Network. CIKM 2016: 75-84 - [c118]Jifan Chen, Qi Zhang, Xuanjing Huang:
Incorporate Group Information to Enhance Network Embedding. CIKM 2016: 1901-1904 - [c117]Haoran Huang, Qi Zhang, Yeyun Gong, Xuanjing Huang:
Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention. COLING 2016: 943-952 - [c116]Yatian Shen, Xuanjing Huang:
Attention-Based Convolutional Neural Network for Semantic Relation Extraction. COLING 2016: 2526-2536 - [c115]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Deep Multi-Task Learning with Shared Memory for Text Classification. EMNLP 2016: 118-127 - [c114]Qi Zhang, Jin Qian, Ya Guo, Yaqian Zhou, Xuanjing Huang:
Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary. EMNLP 2016: 721-730 - [c113]Peng Qian, Xipeng Qiu, Xuanjing Huang:
Analyzing Linguistic Knowledge in Sequential Model of Sentence. EMNLP 2016: 826-835 - [c112]Qi Zhang, Yang Wang, Yeyun Gong, Xuanjing Huang:
Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter. EMNLP 2016: 836-845 - [c111]Jiacheng Xu, Danlu Chen, Xipeng Qiu, Xuanjing Huang:
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification. EMNLP 2016: 1660-1669 - [c110]Pengfei Liu, Xipeng Qiu, Yaqian Zhou, Jifan Chen, Xuanjing Huang:
Modelling Interaction of Sentence Pair with Coupled-LSTMs. EMNLP 2016: 1703-1712 - [c109]Peng Qian, Xipeng Qiu, Xuanjing Huang:
Bridging LSTM Architecture and the Neural Dynamics during Reading. IJCAI 2016: 1953-1959 - [c108]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Recurrent Neural Network for Text Classification with Multi-Task Learning. IJCAI 2016: 2873-2879 - [c107]Yatian Shen, Jifan Chen, Xuanjing Huang:
Bidirectional Long Short-Term Memory with Gated Relevance Network for Paraphrase Identification. NLPCC/ICCPOL 2016: 39-50 - [c106]Jian Fu, Xipeng Qiu, Xuanjing Huang:
Convolutional Deep Neural Networks for Document-Based Question Answering. NLPCC/ICCPOL 2016: 790-797 - 2015
- [c105]Qi Zhang, Yeyun Gong, Ya Guo, Xuanjing Huang:
Retweet Behavior Prediction Using Hierarchical Dirichlet Process. AAAI 2015: 403-409 - [c104]Chenxi Zhu, Xipeng Qiu, Xinchi Chen, Xuanjing Huang:
A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network. ACL (1) 2015: 1159-1168 - [c103]Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Xuanjing Huang:
Gated Recursive Neural Network for Chinese Word Segmentation. ACL (1) 2015: 1744-1753 - [c102]Yeyun Gong, Qi Zhang, Xuyang Sun, Xuanjing Huang:
Who Will You "@"? CIKM 2015: 533-542 - [c101]Shiyu Wu, Xipeng Qiu, Xuanjing Huang, Junkuo Cao:
Learning to Rank Answers for Definitional Question Answering. CCL 2015: 326-332 - [c100]Yeyun Gong, Qi Zhang, Xuanjing Huang:
Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags. EMNLP 2015: 401-410 - [c99]Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Shiyu Wu, Xuanjing Huang:
Sentence Modeling with Gated Recursive Neural Network. EMNLP 2015: 793-798 - [c98]Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Pengfei Liu, Xuanjing Huang:
Long Short-Term Memory Neural Networks for Chinese Word Segmentation. EMNLP 2015: 1197-1206 - [c97]Xinchi Chen, Yaqian Zhou, Chenxi Zhu, Xipeng Qiu, Xuanjing Huang:
Transition-based Dependency Parsing Using Two Heterogeneous Gated Recursive Neural Networks. EMNLP 2015: 1879-1889 - [c96]Pengfei Liu, Xipeng Qiu, Xinchi Chen, Shiyu Wu, Xuanjing Huang:
Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents. EMNLP 2015: 2326-2335 - [c95]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Learning Context-Sensitive Word Embeddings with Neural Tensor Skip-Gram Model. IJCAI 2015: 1284-1290 - [c94]Xipeng Qiu, Xuanjing Huang:
Convolutional Neural Tensor Network Architecture for Community-Based Question Answering. IJCAI 2015: 1305-1311 - [c93]Chenxi Zhu, Xipeng Qiu, Xuanjing Huang:
Transition-Based Dependency Parsing with Long Distance Collocations. NLPCC 2015: 12-24 - [c92]Xipeng Qiu, Peng Qian, Liusong Yin, Shiyu Wu, Xuanjing Huang:
Overview of the NLPCC 2015 Shared Task: Chinese Word Segmentation and POS Tagging for Micro-blog Texts. NLPCC 2015: 541-549 - [c91]Juan Xu, Qi Zhang, Xuanjing Huang:
Personalized Hashtag Suggestion for Microblogs. SMP 2015: 38-50 - 2014
- [c90]Yatian Shen, Xuanjing Huang:
Bilingual Product Name Dictionary Construction Using a Two Stage Method. CIPS-SIGHAN 2014: 61-69 - [c89]Chenxi Zhu, Xipeng Qiu, Xuanjing Huang:
Improving Multi-pass Transition-Based Dependency Parsing Using Enhanced Shift Actions. CCL 2014: 13-22 - [c88]Chaochao Huang, Xipeng Qiu, Xuanjing Huang:
Text Classification with Document Embeddings. CCL 2014: 131-140 - [c87]Yun Zhao, Qinen Zhu, Cheng Jin, Yuejie Zhang, Xuanjing Huang, Tao Zhang:
Chinese-English OOV Term Translation with Web Mining, Multiple Feature Fusion and Supervised Learning. CCL 2014: 234-246 - [c86]Yong Cheng, Wenhui Mao, Cheng Jin, Yuejie Zhang, Xuanjing Huang, Tao Zhang:
Learning Tag Relevance by Context Analysis for Social Image Retrieval. CCL 2014: 290-301 - [c85]Qi Zhang, Yeyun Gong, Xuyang Sun, Xuanjing Huang:
Time-aware Personalized Hashtag Recommendation on Social Media. COLING 2014: 203-212 - [c84]Yeyun Gong, Yaqian Zhou, Ya Guo, Qi Zhang, Xuanjing Huang:
A Generative Model for Identifying Target Companies of Microblogs. COLING 2014: 688-697 - [c83]Xipeng Qiu, Chaochao Huang, Xuanjing Huang:
Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information. COLING 2014: 1154-1164 - [c82]Qi Zhang, Jihua Kang, Jin Qian, Xuanjing Huang:
Continuous word embeddings for detecting local text reuses at the semantic level. SIGIR 2014: 797-806 - [c81]Qi Zhang, Huan Chen, Xuanjing Huang:
Chinese-English mixed text normalization. WSDM 2014: 433-442 - 2013
- [c80]Xipeng Qiu, Qi Zhang, Xuanjing Huang:
FudanNLP: A Toolkit for Chinese Natural Language Processing. ACL (Conference System Demonstrations) 2013: 49-54 - [c79]Xipeng Qiu, Le Tian, Xuanjing Huang:
Latent Semantic Tensor Indexing for Community-based Question Answering. ACL (2) 2013: 434-439 - [c78]Qi Zhang, Jihua Kang, Yeyun Gong, Huan Chen, Yaqian Zhou, Xuanjing Huang:
Map search via a factor graph model. CIKM 2013: 69-78 - [c77]Yaqian Zhou, Qi Zhang, Xuanjing Huang, Lide Wu:
A pattern-based selective recrawling approach for object-level vertical search. CIKM 2013: 1441-1450 - [c76]Le Tian, Xipeng Qiu, Xuanjing Huang:
Chinese Word Segmentation with Character Abstraction. CCL 2013: 36-43 - [c75]Jiayi Zhao, Xipeng Qiu, Zhao Liu, Xuanjing Huang:
Online Distributed Passive-Aggressive Algorithm for Structured Learning. CCL 2013: 120-130 - [c74]Xipeng Qiu, Jiayi Zhao, Xuanjing Huang:
Joint Chinese Word Segmentation and POS Tagging on Heterogeneous Annotated Corpora with Multiple Task Learning. EMNLP 2013: 658-668 - [c73]Qi Zhang, Jin Qian, Huan Chen, Jihua Kang, Xuanjing Huang:
Discourse Level Explanatory Relation Extraction from Product Reviews Using First-Order Logic. EMNLP 2013: 946-957 - [c72]Jiayi Zhao, Xipeng Qiu, Xuanjing Huang:
A Unified Model for Joint Chinese Word Segmentation and POS Tagging with Heterogeneous Annotation Corpora. IALP 2013: 227-230 - [c71]Le Tian, Xipeng Qiu, Xuanjing Huang:
Feature Abstraction for Lightweight and Accurate Chinese Word Segmentation. IALP 2013: 231-234 - [c70]Le Tian, Xipeng Qiu, Xuanjing Huang:
Question identification in Chinese micro-texts. ICMLC 2013: 1910-1915 - [c69]Zhuoye Ding, Xipeng Qiu, Qi Zhang, Xuanjing Huang:
Learning Topical Translation Model for Microblog Hashtag Suggestion. IJCAI 2013: 2078-2084 - [c68]Zhuoye Ding, Yeyun Gong, Yaqian Zhou, Qi Zhang, Xuanjing Huang:
Detecting Spammers in Community Question Answering. IJCNLP 2013: 118-126 - [c67]Huan Chen, Qi Zhang, Jin Qian, Xuanjing Huang:
Chinese Named Entity Abbreviation Generation Using First-Order Logic. IJCNLP 2013: 320-328 - [c66]Juan Xu, Qi Zhang, Xuanjing Huang:
Understanding the Semantic Intent of Natural Language Query. IJCNLP 2013: 552-560 - 2012
- [c65]Zhao Liu, Xipeng Qiu, Ling Cao, Xuanjing Huang:
Discovering logical knowledge for deep question answering. CIKM 2012: 1920-1924 - [c64]Qi Zhang, Yan Wu, Xuanjing Huang:
Selecting expansion terms as a set via integer linear programming. CIKM 2012: 2399-2402 - [c63]Zhuoye Ding, Qi Zhang, Xuanjing Huang:
Automatic Hashtag Recommendation for Microblogs using Topic-Specific Translation Model. COLING (Posters) 2012: 265-274 - [c62]Xipeng Qiu, Feng Ji, Jiayi Zhao, Xuanjing Huang:
Joint Segmentation and Tagging with Coupled Sequences Labeling. COLING (Posters) 2012: 951-964 - [c61]Jiayi Zhao, Xipeng Qiu, Shu Zhang, Feng Ji, Xuanjing Huang:
Part-of-Speech Tagging for Chinese-English Mixed Texts with Dynamic Features. EMNLP-CoNLL 2012: 1379-1388 - [c60]Qi Zhang, Yan Wu, Zhuoye Ding, Xuanjing Huang:
Learning hash codes for efficient content reuse detection. SIGIR 2012: 405-414 - 2011
- [c59]Xipeng Qiu, Xuanjing Huang, Zhao Liu, Jinlong Zhou:
Hierarchical Text Classification with Latent Concepts. ACL (2) 2011: 598-602 - [c58]Zhuoye Ding, Qi Zhang, Xuanjing Huang:
Learning to Extract Coherent Keyphrases from Online News. AIRS 2011: 479-488 - [c57]Wenjun Gao, Xipeng Qiu, Xuanjing Huang:
Labelwise Margin Maximization for Sequence Labeling. CICLing (1) 2011: 121-132 - [c56]Ling Cao, Xipeng Qiu, Xuanjing Huang:
Question Answering for Machine Reading with Lexical Chain. CLEF (Notebook Papers/Labs/Workshop) 2011 - [c55]Yuanbin Wu, Qi Zhang, Xuanjing Huang, Lide Wu:
Structural Opinion Mining for Graph-based Sentiment Representation. EMNLP 2011: 1332-1341 - [c54]Jinlong Zhou, Xipeng Qiu, Xuanjing Huang:
A Fast Accurate Two-stage Training Algorithm for L1-regularized CRFs with Heuristic Line Search Strategy. IJCNLP 2011: 65-74 - [c53]Zhuoye Ding, Qi Zhang, Xuanjing Huang:
Keyphrase Extraction from Online News Using Binary Integer Programming. IJCNLP 2011: 165-173 - [c52]Yan Wu, Qi Zhang, Xuanjing Huang:
Efficient Near-Duplicate Detection for Q&A Forum. IJCNLP 2011: 1001-1009 - [c51]Bingqing Wang, Yaqian Zhou, Qi Zhang, Xuanjing Huang:
Learning the weight of the query term from the relevance feedback. NLPKE 2011: 43-50 - [c50]Ling Cao, Xipeng Qiu, Xuanjing Huang:
FudanNLP at RITE 2011: a Shallow Semantic Approach to Textual Entailment. NTCIR 2011 - [c49]Xipeng Qiu, Jinlong Zhou, Xuanjing Huang:
An Effective Feature Selection Method for Text Categorization. PAKDD (1) 2011: 50-61 - [c48]Bingqing Wang, Xuanjing Huang:
Microblog Track 2011 of FDU. TREC 2011 - [c47]Qi Zhang, Yuanbin Wu, Yan Wu, Xuanjing Huang:
Opinion Mining with Sentiment Graph. Web Intelligence 2011: 249-252 - 2010
- [c46]Wenjun Gao, Xipeng Qiu, Xuanjing Huang:
Adaptive Chinese Word Segmentation with Online Passive-Aggressive Algorithm. CIPS-SIGHAN 2010 - [c45]Zhao Liu, Xipeng Qiu, Xuanjing Huang:
Triplet-Based Chinese Word Sense Induction. CIPS-SIGHAN 2010 - [c44]Feng Ji, Xipeng Qiu, Xuanjing Huang:
Mining Uncertain Sentences with Multiple Instance Learning. ADMA (1) 2010: 521-528 - [c43]Yuanbin Wu, Qi Zhang, Yaqian Zhou, Xuanjing Huang:
Pseudo-Relevance Feedback Based on mRMR Criteria. AIRS 2010: 211-220 - [c42]Xian Qian, Qi Zhang, Xuanjing Huang, Lide Wu:
2D Trie for Fast Parsing. COLING 2010: 904-912 - [c41]Feng Ji, Xipeng Qiu, Xuanjing Huang:
Detecting Hedge Cues and their Scopes with Average Perceptron. CoNLL Shared Task 2010: 32-39 - [c40]Xian Qian, Qi Zhang, Yaqian Zhou, Xuanjing Huang, Lide Wu:
Joint Training and Decoding Using Virtual Nodes for Cascaded Segmentation and Tagging Tasks. EMNLP 2010: 187-195 - [c39]Bingqing Wang, Yaqian Zhou, Xipeng Qiu, Qi Zhang, Xuanjing Huang:
Bagging to find better expansion words. NLPKE 2010: 1-8 - [c38]Qi Zhang, Yue Zhang, Haomin Yu, Xuanjing Huang:
Efficient partial-duplicate detection based on sequence matching. SIGIR 2010: 675-682 - [c37]Yaqian Zhou, Mengjing Jiang, Qi Zhang, Xuanjing Huang, Lide Wu:
Selective recrawling for object-level vertical search. WWW 2010: 1221-1222 - 2009
- [c36]Xipeng Qiu, Wenjun Gao, Xuanjing Huang:
Hierarchical Multi-Label Text Categorization with Global Margin Maximization. ACL/IJCNLP (2) 2009: 165-168 - [c35]Xuanjing Huang, W. Bruce Croft:
A unified relevance model for opinion retrieval. CIKM 2009: 947-956 - [c34]Yuanbin Wu, Qi Zhang, Xuanjing Huang, Lide Wu:
Phrase Dependency Parsing for Opinion Mining. EMNLP 2009: 1533-1541 - [c33]Xian Qian, Xiaoqian Jiang, Qi Zhang, Xuanjing Huang, Lide Wu:
Sparse higher order conditional random fields for improved sequence labeling. ICML 2009: 849-856 - [c32]Mingmin Chi, Youdong Miao, Youze Tang, Jón Atli Benediktsson, Xuanjing Huang:
Hierarchical Ensemble Support Cluster Machine. MCS 2009: 252-261 - [c31]Qi Zhang, Yuanbin Wu, Tao Li, Mitsunori Ogihara, Joseph Johnson, Xuanjing Huang:
Mining product reviews based on shallow dependency parsing. SIGIR 2009: 726-727 - [c30]Qi Zhang, Yang Shi, Xuanjing Huang, Lide Wu:
Template-independent wrapper for web forums. SIGIR 2009: 794-795 - [c29]Bingqing Wang, Xuanjing Huang:
Relevance Feedback Based on Constrained Clustering: FDU at TREC 09. TREC 2009 - 2008
- [c28]Qi Zhang, Xipeng Qiu, Xuanjing Huang, Lide Wu:
Domain Adaptation for Conditional Random Fields. AIRS 2008: 192-202 - [c27]Qi Zhang, Yaqian Zhou, Xuanjing Huang, Lide Wu:
Graph Mutual Reinforcement Based Bootstrapping. AIRS 2008: 203-212 - [c26]Junkuo Cao, Lide Wu, Xuanjing Huang, Yaqian Zhou, Fei Liu:
Using Multiple Combined Ranker for Answering Definitional Questions. AIRS 2008: 448-453 - [c25]Chao Shen, Xipeng Qiu, Xuanjing Huang, Lide Wu:
Answering Definition Question: Ranking for Top-k. ECAI 2008: 839-840 - [c24]Junkuo Cao, Xuanjing Huang:
Answering definitional question by dependency-based knowledge. NLPKE 2008: 1-6 - [c23]Zhongchao Fei, Xuanjing Huang, Fuliang Weng:
Automatic identification of non-anaphoric anaphora in spoken dialog. NLPKE 2008: 1-6 - 2007
- [c22]Ilya Zaihrayeu, Lei Sun, Fausto Giunchiglia, Wei Pan, Qi Ju, Mingmin Chi, Xuanjing Huang:
From Web Directories to Ontologies: Natural Language Processing Challenges. ISWC/ASWC 2007: 623-636 - [c21]Xipeng Qiu, Bo Li, Chao Shen, Lide Wu, Xuanjing Huang, Yaqian Zhou:
FDUQA on TREC 2007 QA Track. TREC 2007 - [c20]Qi Zhang, Bingqing Wang, Lide Wu, Xuanjing Huang:
FDU at TREC 2007: Opinion Retrieval of Blog Track. TREC 2007 - 2006
- [c19]Zhongchao Fei, Xuanjing Huang, Lide Wu:
Mining the Relation between Sentiment Expression and Target Using Dependency of Words. PACLIC 2006 - [c18]Yaqian Zhou, Xiaofeng Yuan, Junkuo Cao, Xuanjing Huang, Lide Wu:
FDUQA on TREC 2006 QA Track. TREC 2006 - 2005
- [c17]Fang Li, Xuanjing Huang:
An Intelligent Platform for Information Retrieval. Cognitive Systems 2005: 45-57 - [c16]Xin Li, Xuanjing Huang, Lide Wu:
Question Classification using Multiple Classifiers. ALR/ALRN@IJCNLP 2005 - [c15]Zhushuo Zhang, Yaqian Zhou, Xuanjing Huang, Lide Wu:
Answering Definition Questions Using Web Knowledge Bases. IJCNLP 2005: 498-506 - [c14]Yongping Du, Helen Meng, Xuanjing Huang, Lide Wu:
The Use of Metadata, Web-derived Answer Patterns and Passage Context to Improve Reading Comprehension Performance. HLT/EMNLP 2005: 604-611 - [c13]Junyu Niu, Lin Sun, Luqun Lou, Fang Deng, Chen Lin, Haiqing Zheng, Xuanjing Huang:
WIM at TREC 2005. TREC 2005 - [c12]Lide Wu, Xuanjing Huang, Yaqian Zhou, Zhushuo Zhang, Fen Lin:
FDUQA on TREC 2005 QA Track. TREC 2005 - 2004
- [c11]Jian Huang, Xuanjing Huang, Lide Wu:
Hot-Spot Passage Retrieval in Question Answering. ICADL 2004: 483-490 - [c10]Yongping Du, Xuanjing Huang, Xin Li, Lide Wu:
A Novel Pattern Learning Method for Open Domain Question Answering. IJCNLP 2004: 81-89 - [c9]Lan You, Yongping Du, Jiayin Ge, Xuanjing Huang, Lide Wu:
BBS Based Hot Topic Retrieval Using Back-Propagation Neural Network. IJCNLP 2004: 139-148 - [c8]Lan You, Xuanjing Huang, Lide Wu, Hao Yu, Jun Wang, Fumihito Nishino:
Exploring Various Features to Optimize Hot Topic Retrieval on WEB. ISNN (1) 2004: 1025-1031 - [c7]Lide Wu, Xuanjing Huang, Lan You, Zhushuo Zhang, Xin Li, Yaqian Zhou:
FDUQA on TREC 2004 QA Track. TREC 2004 - 2003
- [c6]Lide Wu, Xuanjing Huang, Yaqian Zhou, Yongping Du, Lan You:
FDUQA on TREC2003 QA task. TREC 2003: 246-253 - 2002
- [c5]Lide Wu, Xuanjing Huang, Junyu Niu, Yingju Xia, Zhe Feng, Yaqian Zhou:
FDU at TREC 2002: Filtering, Q&A, Web and Video Tasks. TREC 2002 - 2001
- [c4]Xuanjing Huang, Lide Wu, Guowei Xu, Hiroyuli Ishizaki:
Language Independent Text Categorization. NLPRS 2001: 441-446 - [c3]Lide Wu, Xuanjing Huang, Junyu Niu, Yikun Guo, Yingju Xia, Zhe Feng:
FDU at TREC-10: Filtering, QA, Web and Video Tasks. TREC 2001 - 2000
- [c2]Lide Wu, Xuanjing Huang, Yikun Guo, Bingwei Liu, Yuejie Zhang:
FDU at TREC-9: CLIR, Filtering and QA Tasks. TREC 2000 - 1997
- [c1]Xuanjing Huang, Lide Wu, Wang Wen-xin:
Statistical Acquisition of Terminology Dictionary. VLC 1997
Editorship
- 2023
- [e8]Qingyao Ai, Yiqin Liu, Alistair Moffat, Xuanjing Huang, Tetsuya Sakai, Justin Zobel:
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2023, Beijing, China, November 26-28, 2023. ACM 2023 [contents] - 2021
- [e7]Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021. Association for Computational Linguistics 2021 [contents] - [e6]Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih:
Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021. Association for Computational Linguistics 2021 [contents] - 2019
- [e5]Maosong Sun, Xuanjing Huang, Heng Ji, Zhiyuan Liu, Yang Liu:
Chinese Computational Linguistics - 18th China National Conference, CCL 2019, Kunming, China, October 18-20, 2019, Proceedings. Lecture Notes in Computer Science 11856, Springer 2019, ISBN 978-3-030-32380-6 [contents] - 2018
- [e4]Xuanjing Huang, Jing Jiang, Dongyan Zhao, Yansong Feng, Yu Hong:
Natural Language Processing and Chinese Computing - 6th CCF International Conference, NLPCC 2017, Dalian, China, November 8-12, 2017, Proceedings. Lecture Notes in Computer Science 10619, Springer 2018, ISBN 978-3-319-73617-4 [contents] - 2016
- [e3]Maosong Sun, Xuanjing Huang, Hongfei Lin, Zhiyuan Liu, Yang Liu:
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 15th China National Conference, CCL 2016, and 4th International Symposium, NLP-NABD 2016, Yantai, China, October 15-16, 2016, Proceedings. Lecture Notes in Computer Science 10035, 2016, ISBN 978-3-319-47673-5 [contents] - [e2]Chin-Yew Lin, Nianwen Xue, Dongyan Zhao, Xuanjing Huang, Yansong Feng:
Natural Language Understanding and Intelligent Applications - 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, Kunming, China, December 2-6, 2016, Proceedings. Lecture Notes in Computer Science 10102, Springer 2016, ISBN 978-3-319-50495-7 [contents] - 2015
- [e1]Xichun Zhang, Maosong Sun, Zhenyu Wang, Xuanjing Huang:
Social Media Processing - 4th National Conference, SMP 2015, Guangzhou, China, November 16-17, 2015, Proceedings. Communications in Computer and Information Science 568, Springer 2015, ISBN 978-981-10-0079-9 [contents]
Informal and Other Publications
- 2024
- [i226]Junjie Ye, Guanyu Li, Songyang Gao, Caishuang Huang, Yilong Wu, Sixian Li, Xiaoran Fan, Shihan Dou, Qi Zhang, Tao Gui, Xuanjing Huang:
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios. CoRR abs/2401.00741 (2024) - [i225]Jun Zhao, Zhihao Zhang, Luhui Gao, Qi Zhang, Tao Gui, Xuanjing Huang:
LLaMA Beyond English: An Empirical Study on Language Capability Transfer. CoRR abs/2401.01055 (2024) - [i224]Binghai Wang, Rui Zheng, Lu Chen, Yan Liu, Shihan Dou, Caishuang Huang, Wei Shen, Senjie Jin, Enyu Zhou, Chenyu Shi, Songyang Gao, Nuo Xu, Yuhao Zhou, Xiaoran Fan, Zhiheng Xi, Jun Zhao, Xiao Wang, Tao Ji, Hang Yan, Lixing Shen, Zhan Chen, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang:
Secrets of RLHF in Large Language Models Part II: Reward Modeling. CoRR abs/2401.06080 (2024) - [i223]Tianlong Li, Xiaoqing Zheng, Xuanjing Huang:
Open the Pandora's Box of LLMs: Jailbreaking LLMs through Representation Engineering. CoRR abs/2401.06824 (2024) - [i222]Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang:
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning. CoRR abs/2401.08326 (2024) - [i221]Yu Sun, Keyu Chen, Shujie Wang, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin:
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods. CoRR abs/2401.14869 (2024) - [i220]Xiaoran Fan, Tao Ji, Changhao Jiang, Shuo Li, Senjie Jin, Sirui Song, Junke Wang, Boyang Hong, Lu Chen, Guodong Zheng, Ming Zhang, Caishuang Huang, Rui Zheng, Zhiheng Xi, Yuhao Zhou, Shihan Dou, Junjie Ye, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang:
MouSi: Poly-Visual-Expert Vision-Language Models. CoRR abs/2401.17221 (2024) - [i219]Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin:
Navigating the OverKill in Large Language Models. CoRR abs/2401.17633 (2024) - [i218]Wei Chen, Hengxu Lin, Qun Zhang, Xiaojin Zhang, Xiang Bai, Xuanjing Huang, Zhongyu Wei:
CauESC: A Causal Aware Model for Emotional Support Conversation. CoRR abs/2401.17755 (2024) - [i217]Shihan Dou, Yan Liu, Haoxiang Jia, Limao Xiong, Enyu Zhou, Wei Shen, Junjie Shan, Caishuang Huang, Xiao Wang, Xiaoran Fan, Zhiheng Xi, Yuhao Zhou, Tao Ji, Rui Zheng, Qi Zhang, Xuanjing Huang, Tao Gui:
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback. CoRR abs/2402.01391 (2024) - [i216]Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li:
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks. CoRR abs/2402.01533 (2024) - [i215]Ruotian Ma, Xiaolei Wang, Xin Zhou, Jian Li, Nan Du, Tao Gui, Qi Zhang, Xuanjing Huang:
Are Large Language Models Good Prompt Optimizers? CoRR abs/2402.02101 (2024) - [i214]Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang:
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning. CoRR abs/2402.05808 (2024) - [i213]Yi Lu, Xin Zhou, Wei He, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang:
LongHeads: Multi-Head Attention is Secretly a Long Context Processor. CoRR abs/2402.10685 (2024) - [i212]Junjie Ye, Sixian Li, Guanyu Li, Caishuang Huang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, Xuanjing Huang:
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages. CoRR abs/2402.10753 (2024) - [i211]Siyin Wang, Shimin Li, Tianxiang Sun, Jinlan Fu, Qinyuan Cheng, Jiasheng Ye, Junjie Ye, Xipeng Qiu, Xuanjing Huang:
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation. CoRR abs/2402.11251 (2024) - [i210]Siyuan Wang, Zhuohan Long, Zhihao Fan, Zhongyu Wei, Xuanjing Huang:
Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation. CoRR abs/2402.11443 (2024) - [i209]Nuo Xu, Jun Zhao, Can Zu, Sixian Li, Lu Chen, Zhihao Zhang, Rui Zheng, Shihan Dou, Wenjuan Qin, Tao Gui, Qi Zhang, Xuanjing Huang:
Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution. CoRR abs/2402.11525 (2024) - [i208]Jun Zhao, Can Zu, Hao Xu, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang:
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration. CoRR abs/2402.11550 (2024) - [i207]Xinnong Zhang, Haoyu Kuang, Xinyi Mou, Hanjia Lyu, Kun Wu, Siming Chen, Jiebo Luo, Xuanjing Huang, Zhongyu Wei:
SoMeLVLM: A Large Vision Language Model for Social Media Processing. CoRR abs/2402.13022 (2024) - [i206]Ningyu Xu, Qi Zhang, Menghan Zhang, Peng Qian, Xuanjing Huang:
On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe. CoRR abs/2402.14404 (2024) - [i205]Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang:
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. CoRR abs/2402.14536 (2024) - [i204]Junjie Ye, Nuo Xu, Yikun Wang, Jie Zhou, Qi Zhang, Tao Gui, Xuanjing Huang:
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition. CoRR abs/2402.14568 (2024) - [i203]Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang:
Unveiling Linguistic Regions in Large Language Models. CoRR abs/2402.14700 (2024) - [i202]Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang:
Advancing Parameter Efficiency in Fine-tuning via Representation Editing. CoRR abs/2402.15179 (2024) - [i201]Xinyi Mou, Zhongyu Wei, Xuanjing Huang:
Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation. CoRR abs/2402.16333 (2024) - [i200]Yuansen Zhang, Xiao Wang, Zhiheng Xi, Han Xia, Tao Gui, Qi Zhang, Xuanjing Huang:
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions. CoRR abs/2402.16431 (2024) - [i199]Huijie Lv, Xiao Wang, Yuansen Zhang, Caishuang Huang, Shihan Dou, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang:
CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models. CoRR abs/2402.16717 (2024) - [i198]Yuhang Lai, Siyuan Wang, Shujun Liu, Xuanjing Huang, Zhongyu Wei:
ALaRM: Align Language Models via Hierarchical Rewards Modeling. CoRR abs/2403.06754 (2024) - [i197]Jingcong Liang, Rong Ye, Meng Han, Ruofei Lai, Xinyu Zhang, Xuanjing Huang, Zhongyu Wei:
Debatrix: Multi-dimensinal Debate Judge with Iterative Chronological Analysis Based on LLM. CoRR abs/2403.08010 (2024) - [i196]Cenyuan Zhang, Xiaoqing Zheng, Ruicheng Yin, Shujie Geng, Jianhan Xu, Xuan Gao, Changze Lv, Zixuan Ling, Xuanjing Huang, Miao Cao, Jianfeng Feng:
Decoding Continuous Character-based Language from Non-invasive Brain Recordings. CoRR abs/2403.11183 (2024) - [i195]Weikang Zhou, Xiao Wang, Limao Xiong, Han Xia, Yingshuang Gu, Mingxu Chai, Fukang Zhu, Caishuang Huang, Shihan Dou, Zhiheng Xi, Rui Zheng, Songyang Gao, Yicheng Zou, Hang Yan, Yifan Le, Ruohui Wang, Lijun Li, Jing Shao, Tao Gui, Qi Zhang, Xuanjing Huang:
EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models. CoRR abs/2403.12171 (2024) - [i194]Rui Zheng, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang:
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals. CoRR abs/2403.16176 (2024) - [i193]Wei He, Shichun Liu, Jun Zhao, Yiwen Ding, Yi Lu, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang:
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models. CoRR abs/2404.00884 (2024) - [i192]Mengfei Du, Binhao Wu, Jiwen Zhang, Zhihao Fan, Zejun Li, Ruipu Luo, Xuanjing Huang, Zhongyu Wei:
DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive Learning. CoRR abs/2404.01994 (2024) - [i191]Jie Wang, Tao Ji, Yuanbin Wu, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang, Xiaoling Wang:
Length Generalization of Causal Transformers without Position Encoding. CoRR abs/2404.12224 (2024) - [i190]Shihan Dou, Yan Liu, Enyu Zhou, Tianlong Li, Haoxiang Jia, Limao Xiong, Xin Zhao, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang:
MetaRM: Shifted Distributions Alignment via Meta-Learning. CoRR abs/2405.00438 (2024) - [i189]Jun Zhao, Jingqi Tong, Yurong Mou, Ming Zhang, Qi Zhang, Xuanjing Huang:
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning. CoRR abs/2405.06680 (2024) - [i188]Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Tianxiang Sun, Cheng Chang, Qinyuan Cheng, Ding Wang, Xiaofeng Mou, Xipeng Qiu, Xuanjing Huang:
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. CoRR abs/2405.12939 (2024) - [i187]Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li:
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators. CoRR abs/2405.14362 (2024) - [i186]Zhiheng Xi, Yiwen Ding, Wenxiang Chen, Boyang Hong, Honglin Guo, Junzhe Wang, Dingwen Yang, Chenyang Liao, Xin Guo, Wei He, Songyang Gao, Lu Chen, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang:
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments. CoRR abs/2406.04151 (2024) - [i185]Mengfei Du, Binhao Wu, Zejun Li, Xuanjing Huang, Zhongyu Wei:
EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models. CoRR abs/2406.05756 (2024) - [i184]Jianhao Zhu, Changze Lv, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang:
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA. CoRR abs/2406.10976 (2024) - [i183]Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Hang Li, Yang Liu:
Toward Optimal LLM Alignments Using Two-Player Games. CoRR abs/2406.10977 (2024) - [i182]Yuming Yang, Wantong Zhao, Caishuang Huang, Junjie Ye, Xiao Wang, Huiyuan Zheng, Yang Nan, Yuran Wang, Xueying Xu, Kaixin Huang, Yunke Zhang, Tao Gui, Qi Zhang, Xuanjing Huang:
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition. CoRR abs/2406.11192 (2024) - [i181]Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao:
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model. CoRR abs/2406.12030 (2024) - [i180]Qin Zhu, Qingyuan Cheng, Runyu Peng, Xiaonan Li, Tengxiao Liu, Ru Peng, Xipeng Qiu, Xuanjing Huang:
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation. CoRR abs/2406.13990 (2024) - [i179]Jingcong Liang, Junlong Wang, Xinyu Zhai, Yungui Zhuang, Yiyang Zheng, Xin Xu, Xiandong Ran, Xiaozheng Dong, Honghui Rong, Yanlun Liu, Hao Chen, Yuhan Wei, Donghai Li, Jiajie Peng, Xuanjing Huang, Chongde Shi, Yansong Feng, Yun Song, Zhongyu Wei:
Overview of the CAIL 2023 Argument Mining Track. CoRR abs/2406.14503 (2024) - [i178]Siyin Wang, Xingsong Ye, Qinyuan Cheng, Junwen Duan, Shimin Li, Jinlan Fu, Xipeng Qiu, Xuanjing Huang:
Cross-Modality Safety Alignment. CoRR abs/2406.15279 (2024) - [i177]Xingyu Lu, Xiaonan Li, Qinyuan Cheng, Kai Ding, Xuanjing Huang, Xipeng Qiu:
Scaling Laws for Fact Memorization of Large Language Models. CoRR abs/2406.15720 (2024) - [i176]Caishuang Huang, Wanxu Zhao, Rui Zheng, Huijie Lv, Shihan Dou, Sixian Li, Xiao Wang, Enyu Zhou, Junjie Ye, Yuming Yang, Tao Gui, Qi Zhang, Xuanjing Huang:
SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance. CoRR abs/2406.18118 (2024) - [i175]Jiahao Ying, Mingbao Lin, Yixin Cao, Wei Tang, Bo Wang, Qianru Sun, Xuanjing Huang, Shuicheng Yan:
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement. CoRR abs/2407.00497 (2024) - [i174]Xiaohua Wang, Zhenghua Wang, Xuan Gao, Feiran Zhang, Yixin Wu, Zhibo Xu, Tianyuan Shi, Zhengyuan Wang, Shizheng Li, Qi Qian, Ruicheng Yin, Changze Lv, Xiaoqing Zheng, Xuanjing Huang:
Searching for Best Practices in Retrieval-Augmented Generation. CoRR abs/2407.01219 (2024) - [i173]Zisu Huang, Xiaohua Wang, Feiran Zhang, Zhibo Xu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang:
Enhancing the Capability and Robustness of Large Language Models through Reinforcement Learning-Driven Query Refinement. CoRR abs/2407.01461 (2024) - [i172]Shujun Liu, Xiaoyu Shen, Yuhang Lai, Siyuan Wang, Shengbin Yue, Zengfeng Huang, Xuanjing Huang, Zhongyu Wei:
HAF-RM: A Hybrid Alignment Framework for Reward Model Training. CoRR abs/2407.04185 (2024) - [i171]Qi Jia, Baoyu Fan, Cong Xu, Lu Liu, Liang Jin, Guoguang Du, Zhenhua Guo, Yaqian Zhao, Xuanjing Huang, Rengang Li:
Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline. CoRR abs/2407.06115 (2024) - [i170]Shihan Dou, Haoxiang Jia, Shenxi Wu, Huiyuan Zheng, Weikang Zhou, Muling Wu, Mingxu Chai, Jessica Fan, Caishuang Huang, Yunbo Tao, Yan Liu, Enyu Zhou, Ming Zhang, Yuhao Zhou, Yueming Wu, Rui Zheng, Ming Wen, Rongxiang Weng, Jingang Wang, Xunliang Cai, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang:
What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. CoRR abs/2407.06153 (2024) - [i169]Shengbin Yue, Siyuan Wang, Wei Chen, Xuanjing Huang, Zhongyu Wei:
Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks. CoRR abs/2407.09893 (2024) - [i168]Mianxin Liu, Jinru Ding, Jie Xu, Weiguo Hu, Xiaoyang Li, Lifeng Zhu, Zhian Bai, Xiaoming Shi, Benyou Wang, Haitao Song, Pengfei Liu, Xiaofan Zhang, Shanshan Wang, Kang Li, Haofen Wang, Tong Ruan, Xuanjing Huang, Xin Sun, Shaoting Zhang:
MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models. CoRR abs/2407.10990 (2024) - [i167]Yunfan Shao, Linyang Li, Yichuan Ma, Peiji Li, Demin Song, Qinyuan Cheng, Shimin Li, Xiaonan Li, Pengyu Wang, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin:
Case2Code: Learning Inductive Reasoning with Synthetic Data. CoRR abs/2407.12504 (2024) - [i166]Jiayu Lin, Guanrong Chen, Bojun Jin, Chenyang Li, Shutong Jia, Wancong Lin, Yang Sun, Yuhang He, Caihua Yang, Jianzhu Bao, Jipeng Wu, Wen Su, Jinglu Chen, Xinyi Li, Tianyu Chen, Mingjie Han, Shuaiwen Du, Zijian Wang, Jiyin Li, Fuzhong Suo, Hao Wang, Nuanchen Lin, Xuanjing Huang, Changjian Jiang, RuiFeng Xu, Long Zhang, Jiuxin Cao, Ting Jin, Zhongyu Wei:
Overview of AI-Debater 2023: The Challenges of Argument Generation Tasks. CoRR abs/2407.14829 (2024) - [i165]Libo Sun, Siyuan Wang, Xuanjing Huang, Zhongyu Wei:
Identity-Driven Hierarchical Role-Playing Agents. CoRR abs/2407.19412 (2024) - [i164]Ming Zhang, Caishuang Huang, Yilong Wu, Shichun Liu, Huiyuan Zheng, Yurui Dong, Yujiong Shen, Shihan Dou, Jun Zhao, Junjie Ye, Qi Zhang, Tao Gui, Xuanjing Huang:
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities. CoRR abs/2407.21693 (2024) - [i163]Han Xia, Songyang Gao, Qiming Ge, Zhiheng Xi, Qi Zhang, Xuanjing Huang:
Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data. CoRR abs/2408.14874 (2024) - [i162]Zhe Xu, Jiasheng Ye, Xiangyang Liu, Tianxiang Sun, Xiaoran Liu, Qipeng Guo, Linlin Li, Qun Liu, Xuanjing Huang, Xipeng Qiu:
DetectiveQA: Evaluating Long-Context Reasoning on Detective Novels. CoRR abs/2409.02465 (2024) - [i161]Junjie Ye, Yuming Yang, Qi Zhang, Tao Gui, Xuanjing Huang, Peng Wang, Zhongchao Shi, Jianping Fan:
Empirical Insights on Fine-Tuning Large Language Models for Question-Answering. CoRR abs/2409.15825 (2024) - [i160]Wenhao Liu, Siyu An, Junru Lu, Muling Wu, Tianlong Li, Xiaohua Wang, Xiaoqing Zheng, Di Yin, Xing Sun, Xuanjing Huang:
Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing. CoRR abs/2409.16913 (2024) - 2023
- [i159]Xuanting Chen, Junjie Ye, Can Zu, Nuo Xu, Rui Zheng, Minlong Peng, Jie Zhou, Tao Gui, Qi Zhang, Xuanjing Huang:
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks. CoRR abs/2303.00293 (2023) - [i158]Junjie Ye, Xuanting Chen, Nuo Xu, Can Zu, Zekai Shao, Shichun Liu, Yuhan Cui, Zeyang Zhou, Chao Gong, Yang Shen, Jie Zhou, Siming Chen, Tao Gui, Qi Zhang, Xuanjing Huang:
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models. CoRR abs/2303.10420 (2023) - [i157]Songyang Gao, Shihan Dou, Junjie Shan, Qi Zhang, Xuanjing Huang:
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing. CoRR abs/2305.02865 (2023) - [i156]Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang, Xipeng Qiu:
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors. CoRR abs/2305.05711 (2023) - [i155]Ting Wu, Jingyi Liu, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang:
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild. CoRR abs/2305.07085 (2023) - [i154]Ting Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang:
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization. CoRR abs/2305.12123 (2023) - [i153]Limao Xiong, Jie Zhou, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma, Ying Shan:
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. CoRR abs/2305.12485 (2023) - [i152]Siyuan Wang, Zhongyu Wei, Meng Han, Zhihao Fan, Haijun Shan, Qi Zhang, Xuanjing Huang:
Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs. CoRR abs/2305.13585 (2023) - [i151]Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, Tao Gui, Qi Zhang, Xuanjing Huang:
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement. CoRR abs/2305.14497 (2023) - [i150]Wei Chen, Shiqi Wei, Zhongyu Wei, Xuanjing Huang:
KNSE: A Knowledge-aware Natural Language Inference Framework for Dialogue Symptom Status Recognition. CoRR abs/2305.16833 (2023) - [i149]Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Xuanjing Huang:
Do Large Language Models Know What They Don't Know? CoRR abs/2305.18153 (2023) - [i148]Jun Zhao, Xin Zhao, WenYu Zhan, Qi Zhang, Tao Gui, Zhongyu Wei, Yunwen Chen, Xiang Gao, Xuanjing Huang:
Open Set Relation Extraction via Unknown-Aware Training. CoRR abs/2306.04950 (2023) - [i147]Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf:
From Hypergraph Energy Functions to Hypergraph Neural Networks. CoRR abs/2306.09623 (2023) - [i146]Songyang Gao, Shihan Dou, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan:
On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection. CoRR abs/2306.15705 (2023) - [i145]Rui Zheng, Shihan Dou, Songyang Gao, Yuan Hua, Wei Shen, Binghai Wang, Yan Liu, Senjie Jin, Qin Liu, Yuhao Zhou, Limao Xiong, Lu Chen, Zhiheng Xi, Nuo Xu, Wenbin Lai, Minghao Zhu, Cheng Chang, Zhangyue Yin, Rongxiang Weng, Wensen Cheng, Haoran Huang, Tianxiang Sun, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang:
Secrets of RLHF in Large Language Models Part I: PPO. CoRR abs/2307.04964 (2023) - [i144]Shihan Dou, Junjie Shan, Haoxiang Jia, Wenhao Deng, Zhiheng Xi, Wei He, Yueming Wu, Tao Gui, Yang Liu, Xuanjing Huang:
Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey. CoRR abs/2308.01191 (2023) - [i143]Zhijie Bao, Wei Chen, Shengze Xiao, Kuang Ren, Jiaao Wu, Cheng Zhong, Jiajie Peng, Xuanjing Huang, Zhongyu Wei:
DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation. CoRR abs/2308.14346 (2023) - [i142]Changze Lv, Tianlong Li, Jianhan Xu, Chenxi Gu, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang:
SpikeBERT: A Language Spikformer Trained with Two-Stage Knowledge Distillation from BERT. CoRR abs/2308.15122 (2023) - [i141]Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wensen Cheng, Qi Zhang, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huang, Tao Gui:
The Rise and Potential of Large Language Model Based Agents: A Survey. CoRR abs/2309.07864 (2023) - [i140]Shengbin Yue, Wei Chen, Siyuan Wang, Bingxuan Li, Chenchen Shen, Shujun Liu, Yuxuan Zhou, Yao Xiao, Song Yun, Xuanjing Huang, Zhongyu Wei:
DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services. CoRR abs/2309.11325 (2023) - [i139]Zejun Li, Ye Wang, Mengfei Du, Qingwen Liu, Binhao Wu, Jiwen Zhang, Chengxing Zhou, Zhihao Fan, Jie Fu, Jingjing Chen, Xuanjing Huang, Zhongyu Wei:
ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks. CoRR abs/2310.02569 (2023) - [i138]Wei Shen, Rui Zheng, WenYu Zhan, Jun Zhao, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang:
Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback. CoRR abs/2310.05199 (2023) - [i137]Tianlong Li, Wenhao Liu, Changze Lv, Jianhan Xu, Cenyuan Zhang, Muling Wu, Xiaoqing Zheng, Xuanjing Huang:
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network. CoRR abs/2310.06488 (2023) - [i136]Xiao Wang, Yuansen Zhang, Tianze Chen, Songyang Gao, Senjie Jin, Xianjun Yang, Zhiheng Xi, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xuanjing Huang:
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models. CoRR abs/2310.06762 (2023) - [i135]Yuxin Wang, Xiannian Hu, Quan Gan, Xuanjing Huang, Xipeng Qiu, David Wipf:
Efficient Link Prediction via GNN Layers Induced by Negative Sampling. CoRR abs/2310.09516 (2023) - [i134]Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Qi Zhang, Tao Gui, Xuanjing Huang:
RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. CoRR abs/2310.09596 (2023) - [i133]Enyu Zhou, Rui Zheng, Zhiheng Xi, Songyang Gao, Xiaoran Fan, Zichu Fei, Jingting Ye, Tao Gui, Qi Zhang, Xuanjing Huang:
RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms. CoRR abs/2310.11227 (2023) - [i132]Rui Zheng, Wei Shen, Yuan Hua, Wenbin Lai, Shihan Dou, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang:
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning. CoRR abs/2310.11971 (2023) - [i131]Ningyu Xu, Qi Zhang, Jingting Ye, Menghan Zhang, Xuanjing Huang:
Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization. CoRR abs/2310.12794 (2023) - [i130]Xiao Wang, Tianze Chen, Qiming Ge, Han Xia, Rong Bao, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang:
Orthogonal Subspace Learning for Language Model Continual Learning. CoRR abs/2310.14152 (2023) - [i129]Jun Zhao, Zhihao Zhang, Yide Ma, Qi Zhang, Tao Gui, Luhui Gao, Xuanjing Huang:
Unveiling A Core Linguistic Region in Large Language Models. CoRR abs/2310.14928 (2023) - [i128]Wei Chen, Qiushi Wang, Zefei Long, Xianyin Zhang, Zhongtian Lu, Bingxuan Li, Siyuan Wang, Jiarong Xu, Xiang Bai, Xuanjing Huang, Zhongyu Wei:
DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning. CoRR abs/2310.15205 (2023) - [i127]Tianlong Li, Xiaoqing Zheng, Xuanjing Huang:
Tailoring Personality Traits in Large Language Models via Unsupervisedly-Built Personalized Lexicons. CoRR abs/2310.16582 (2023) - [i126]Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang:
Making Harmful Behaviors Unlearnable for Large Language Models. CoRR abs/2311.02105 (2023) - [i125]Jingcong Liang, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei:
Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining. CoRR abs/2312.00874 (2023) - [i124]Zhangyue Yin, Qiushi Sun, Cheng Chang, Qipeng Guo, Junqi Dai, Xuanjing Huang, Xipeng Qiu:
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication. CoRR abs/2312.01823 (2023) - [i123]Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang:
LLMEval: A Preliminary Study on How to Evaluate Large Language Models. CoRR abs/2312.07398 (2023) - [i122]Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Jun Zhao, Wei Shen, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Xiaoran Fan, Shiliang Pu, Jiang Zhu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang:
LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment. CoRR abs/2312.09979 (2023) - [i121]Wei Chen, Gang Zhao, Xiaojin Zhang, Xiang Bai, Xuanjing Huang, Zhongyu Wei:
K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning. CoRR abs/2312.10371 (2023) - [i120]Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Gui Tao, Qi Zhang, Xuanjing Huang:
A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis. CoRR abs/2312.10479 (2023) - [i119]Jiayu Lin, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei:
Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation. CoRR abs/2312.13608 (2023) - [i118]Wenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang:
Aligning Large Language Models with Human Preferences through Representation Engineering. CoRR abs/2312.15997 (2023) - 2022
- [i117]Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu:
Black-Box Tuning for Language-Model-as-a-Service. CoRR abs/2201.03514 (2022) - [i116]Shihan Dou, Rui Zheng, Ting Wu, Songyang Gao, Qi Zhang, Yueming Wu, Xuanjing Huang:
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective. CoRR abs/2202.08048 (2022) - [i115]Tianxiang Sun, Xiangyang Liu, Wei Zhu, Zhichao Geng, Lingling Wu, Yilong He, Yuan Ni, Guotong Xie, Xuanjing Huang, Xipeng Qiu:
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation. CoRR abs/2203.01670 (2022) - [i114]Xiao Wang, Shihan Dou, Limao Xiong, Yicheng Zou, Qi Zhang, Tao Gui, Liang Qiao, Zhanzhan Cheng, Xuanjing Huang:
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective. CoRR abs/2204.04391 (2022) - [i113]Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei:
A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets. CoRR abs/2204.08997 (2022) - [i112]Tianxiang Sun, Zhengfu He, Hong Qian, Xuanjing Huang, Xipeng Qiu:
BBTv2: Pure Black-Box Optimization Can Be Comparable to Gradient Descent for Few-Shot Learning. CoRR abs/2205.11200 (2022) - [i111]Yuxing Wang, Chu-Tak Lee, Qipeng Guo, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu:
What Dense Graph Do You Need for Self-Attention? CoRR abs/2205.14014 (2022) - [i110]Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang:
CoNT: Contrastive Neural Text Generation. CoRR abs/2205.14690 (2022) - [i109]Zhihao Fan, Zhongyu Wei, Jingjing Chen, Siyuan Wang, Zejun Li, Jiarong Xu, Xuanjing Huang:
A Unified Continuous Learning Framework for Multi-modal Knowledge Discovery and Pre-training. CoRR abs/2206.05555 (2022) - [i108]Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang:
Causal Intervention Improves Implicit Sentiment Analysis. CoRR abs/2208.09329 (2022) - [i107]Siyuan Wang, Zhongyu Wei, Zhihao Fan, Qi Zhang, Xuanjing Huang:
Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering. CoRR abs/2208.10297 (2022) - [i106]Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang:
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. CoRR abs/2208.13017 (2022) - [i105]Chenxin An, Ming Zhong, Zhiyong Wu, Qin Zhu, Xuanjing Huang, Xipeng Qiu:
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization. CoRR abs/2209.14569 (2022) - [i104]Ruotian Ma, Xuanting Chen, Lin Zhang, Tao Gui, Qi Zhang, Xuanjing Huang:
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER. CoRR abs/2210.04676 (2022) - [i103]Songyang Gao, Shihan Dou, Qi Zhang, Xuanjing Huang:
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding. CoRR abs/2210.07547 (2022) - [i102]Tianxiang Sun, Zhengfu He, Qin Zhu, Xipeng Qiu, Xuanjing Huang:
Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning. CoRR abs/2210.07565 (2022) - [i101]Tianxiang Sun, Junliang He, Xipeng Qiu, Xuanjing Huang:
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation. CoRR abs/2210.07626 (2022) - [i100]Xiangyang Liu, Tianxiang Sun, Xuanjing Huang, Xipeng Qiu:
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts. CoRR abs/2210.11292 (2022) - [i99]Rui Zheng, Rong Bao, Yuhao Zhou, Di Liang, Sirui Wang, Wei Wu, Tao Gui, Qi Zhang, Xuanjing Huang:
Robust Lottery Tickets for Pre-trained Language Models. CoRR abs/2211.03013 (2022) - [i98]Zhiheng Xi, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang:
Efficient Adversarial Training with Robust Early-Bird Tickets. CoRR abs/2211.07263 (2022) - [i97]Zhengfu He, Tianxiang Sun, Kuanning Wang, Xuanjing Huang, Xipeng Qiu:
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models. CoRR abs/2211.15029 (2022) - [i96]Zhangyue Yin, Yuxin Wang, Yiguang Wu, Hang Yan, Xiannian Hu, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Xipeng Qiu:
Rethinking Label Smoothing on Multi-hop Question Answering. CoRR abs/2212.09512 (2022) - [i95]Ningyu Xu, Tao Gui, Ruotian Ma, Qi Zhang, Jingting Ye, Menghan Zhang, Xuanjing Huang:
Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer? CoRR abs/2212.10879 (2022) - 2021
- [i94]Tao Gui, Xiao Wang, Qi Zhang, Qin Liu, Yicheng Zou, Xin Zhou, Rui Zheng, Chong Zhang, Qinzhuo Wu, Jiacheng Ye, Zexiong Pang, Yongxin Zhang, Zhengyan Li, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xinwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Bolin Zhu, Shan Qin, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang:
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. CoRR abs/2103.11441 (2021) - [i93]Liping Yuan, Jiangtao Feng, Xiaoqing Zheng, Xuanjing Huang:
Alleviate Exposure Bias in Sequence Prediction \\ with Recurrent Neural Networks. CoRR abs/2103.11603 (2021) - [i92]Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang:
Mask Attention Networks: Rethinking and Strengthen Transformer. CoRR abs/2103.13597 (2021) - [i91]Zejun Li, Zhongyu Wei, Zhihao Fan, Haijun Shan, Xuanjing Huang:
An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-Level Structural Information. CoRR abs/2104.02605 (2021) - [i90]Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Enhancing Scientific Papers Summarization with Citation Graph. CoRR abs/2104.03057 (2021) - [i89]Jinlan Fu, Liangjing Feng, Qi Zhang, Xuanjing Huang, Pengfei Liu:
Larger-Context Tagging: When and Why Does It Work? CoRR abs/2104.04434 (2021) - [i88]Lu Ji, Jing Li, Zhongyu Wei, Qi Zhang, Xuanjing Huang:
Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure. CoRR abs/2104.08601 (2021) - [i87]Jiehang Zeng, Xiaoqing Zheng, Jianhan Xu, Linyang Li, Liping Yuan, Xuanjing Huang:
Certified Robustness to Text Adversarial Attacks by Randomized [MASK]. CoRR abs/2105.03743 (2021) - [i86]Tianxiang Sun, Yunhua Zhou, Xiangyang Liu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu:
Early Exiting with Ensemble Internal Classifiers. CoRR abs/2105.13792 (2021) - [i85]Xiaonan Li, Yunfan Shao, Tianxiang Sun, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Accelerating BERT Inference for Sequence Labeling via Early-Exit. CoRR abs/2105.13878 (2021) - [i84]Chong Li, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang:
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models. CoRR abs/2105.14813 (2021) - [i83]Jinlan Fu, Xuanjing Huang, Pengfei Liu:
SpanNER: Named Entity Re-/Recognition as Span Prediction. CoRR abs/2106.00641 (2021) - [i82]Zhihao Fan, Zhongyu Wei, Siyuan Wang, Ruize Wang, Zejun Li, Haijun Shan, Xuanjing Huang:
TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning. CoRR abs/2106.10936 (2021) - [i81]Ruotian Ma, Tao Gui, Linyang Li, Qi Zhang, Yaqian Zhou, Xuanjing Huang:
SENT: Sentence-level Distant Relation Extraction via Negative Training. CoRR abs/2106.11566 (2021) - [i80]Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wan, Xuanjing Huang:
Fine-Grained Element Identification in Complaint Text of Internet Fraud. CoRR abs/2108.08676 (2021) - [i79]Yitao Liu, Tianxiang Sun, Xipeng Qiu, Xuanjing Huang:
Learning to Teach with Student Feedback. CoRR abs/2109.04641 (2021) - [i78]Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Haijun Shan, Xuanjing Huang, Jianqing Fan:
Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval. CoRR abs/2109.05523 (2021) - [i77]Tianxiang Sun, Xiangyang Liu, Xipeng Qiu, Xuanjing Huang:
Paradigm Shift in Natural Language Processing. CoRR abs/2109.12575 (2021) - [i76]Ruotian Ma, Xin Zhou, Tao Gui, Yiding Tan, Qi Zhang, Xuanjing Huang:
Template-free Prompt Tuning for Few-shot NER. CoRR abs/2109.13532 (2021) - [i75]Linyang Li, Demin Song, Ruotian Ma, Xipeng Qiu, Xuanjing Huang:
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier. CoRR abs/2110.02523 (2021) - [i74]Xiangyang Liu, Tianxiang Sun, Junliang He, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu:
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline. CoRR abs/2110.07038 (2021) - [i73]Xin Zhou, Ruotian Ma, Tao Gui, Yiding Tan, Qi Zhang, Xuanjing Huang:
Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models. CoRR abs/2110.07331 (2021) - 2020
- [i72]Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang:
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study. CoRR abs/2001.03844 (2020) - [i71]Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou:
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. CoRR abs/2002.01808 (2020) - [i70]Yige Xu, Xipeng Qiu, Ligao Zhou, Xuanjing Huang:
Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation. CoRR abs/2002.10345 (2020) - [i69]Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, Xuanjing Huang:
Pre-trained Models for Natural Language Processing: A Survey. CoRR abs/2003.08271 (2020) - [i68]Zhen Ke, Liang Shi, Erli Meng, Bin Wang, Xipeng Qiu, Xuanjing Huang:
Unified Multi-Criteria Chinese Word Segmentation with BERT. CoRR abs/2004.05808 (2020) - [i67]Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Extractive Summarization as Text Matching. CoRR abs/2004.08795 (2020) - [i66]Xiaonan Li, Hang Yan, Xipeng Qiu, Xuanjing Huang:
FLAT: Chinese NER Using Flat-Lattice Transformer. CoRR abs/2004.11795 (2020) - [i65]Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang:
Heterogeneous Graph Neural Networks for Extractive Document Summarization. CoRR abs/2004.12393 (2020) - [i64]Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou:
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. CoRR abs/2004.14201 (2020) - [i63]Kangenbei Liao, Qianlong Liu, Zhongyu Wei, Baolin Peng, Qin Chen, Weijian Sun, Xuanjing Huang:
Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning. CoRR abs/2004.14254 (2020) - [i62]Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang:
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble. CoRR abs/2006.11627 (2020) - [i61]Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang:
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. CoRR abs/2009.07964 (2020) - [i60]Zhichao Geng, Hang Yan, Xipeng Qiu, Xuanjing Huang:
fastHan: A BERT-based Joint Many-Task Toolkit for Chinese NLP. CoRR abs/2009.08633 (2020) - [i59]Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang:
CoLAKE: Contextualized Language and Knowledge Embedding. CoRR abs/2010.00309 (2020) - [i58]Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems. CoRR abs/2010.05139 (2020) - [i57]Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang:
RethinkCWS: Is Chinese Word Segmentation a Solved Task? CoRR abs/2011.06858 (2020) - [i56]Jingjing Gong, Hang Yan, Yining Zheng, Xipeng Qiu, Xuanjing Huang:
Text Information Aggregation with Centrality Attention. CoRR abs/2011.07916 (2020) - [i55]Liping Yuan, Xiaoqing Zheng, Yi Zhou, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang:
Generating universal language adversarial examples by understanding and enhancing the transferability across neural models. CoRR abs/2011.08558 (2020) - [i54]Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang:
An Enhanced Knowledge Injection Model for Commonsense Generation. CoRR abs/2012.00366 (2020) - [i53]Yichao Luo, Zhengyan Li, Bingning Wang, Xiaoyu Xing, Qi Zhang, Xuanjing Huang:
SenSeNet: Neural Keyphrase Generation with Document Structure. CoRR abs/2012.06754 (2020) - [i52]Yicheng Zou, Jun Lin, Lujun Zhao, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu:
Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders. CoRR abs/2012.07300 (2020) - [i51]Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu:
Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling. CoRR abs/2012.07311 (2020) - [i50]Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, Xuanjing Huang:
Uncertainty-Aware Label Refinement for Sequence Labeling. CoRR abs/2012.10608 (2020) - [i49]Linyang Li, Yunfan Shao, Demin Song, Xipeng Qiu, Xuanjing Huang:
Generating Adversarial Examples in Chinese Texts Using Sentence-Pieces. CoRR abs/2012.14769 (2020) - 2019
- [i48]Chi Sun, Xipeng Qiu, Xuanjing Huang:
VCWE: Visual Character-Enhanced Word Embeddings. CoRR abs/1902.08795 (2019) - [i47]Hang Yan, Xipeng Qiu, Xuanjing Huang:
A Unified Model for Joint Chinese Word Segmentation and Dependency Parsing. CoRR abs/1904.04697 (2019) - [i46]Chi Sun, Xipeng Qiu, Yige Xu, Xuanjing Huang:
How to Fine-Tune BERT for Text Classification? CoRR abs/1905.05583 (2019) - [i45]Ning Dai, Jianze Liang, Xipeng Qiu, Xuanjing Huang:
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation. CoRR abs/1905.05621 (2019) - [i44]Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang:
Learning Task-specific Representation for Novel Words in Sequence Labeling. CoRR abs/1905.12277 (2019) - [i43]Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang:
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning. CoRR abs/1906.01378 (2019) - [i42]Xipeng Qiu, Hengzhi Pei, Hang Yan, Xuanjing Huang:
Multi-Criteria Chinese Word Segmentation with Transformer. CoRR abs/1906.12035 (2019) - [i41]Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Searching for Effective Neural Extractive Summarization: What Works and What's Next. CoRR abs/1907.03491 (2019) - [i40]Zehui Lin, Pengfei Liu, Luyao Huang, Junkun Chen, Xipeng Qiu, Xuanjing Huang:
DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks. CoRR abs/1907.11065 (2019) - [i39]Minlong Peng, Ruotian Ma, Qi Zhang, Xuanjing Huang:
Simplify the Usage of Lexicon in Chinese NER. CoRR abs/1908.05969 (2019) - [i38]Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang:
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge. CoRR abs/1908.07245 (2019) - [i37]Danqing Wang, Pengfei Liu, Ming Zhong, Jie Fu, Xipeng Qiu, Xuanjing Huang:
Exploring Domain Shift in Extractive Text Summarization. CoRR abs/1908.11664 (2019) - [i36]Minlong Peng, Qi Zhang, Xuanjing Huang:
Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis. CoRR abs/1909.08167 (2019) - [i35]Ming Zhong, Danqing Wang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
A Closer Look at Data Bias in Neural Extractive Summarization Models. CoRR abs/1909.13705 (2019) - [i34]Lu Ji, Zhongyu Wei, Jing Li, Qi Zhang, Xuanjing Huang:
Discrete Argument Representation Learning for Interactive Argument Pair Identification. CoRR abs/1911.01621 (2019) - [i33]Ruize Wang, Zhongyu Wei, Piji Li, Haijun Shan, Ji Zhang, Qi Zhang, Xuanjing Huang:
Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication. CoRR abs/1911.04192 (2019) - [i32]Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Learning Sparse Sharing Architectures for Multiple Tasks. CoRR abs/1911.05034 (2019) - [i31]Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang:
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features. CoRR abs/1911.07518 (2019) - [i30]Yi Zhou, Xiaoqing Zheng, Xuanjing Huang:
Chinese Named Entity Recognition Augmented with Lexicon Memory. CoRR abs/1912.08282 (2019) - 2018
- [i29]Junkun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang:
Meta Multi-Task Learning for Sequence Modeling. CoRR abs/1802.08969 (2018) - [i28]Jinyue Su, Jiacheng Xu, Xipeng Qiu, Xuanjing Huang:
Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method. CoRR abs/1802.08970 (2018) - [i27]Zhan Shi, Xinchi Chen, Xipeng Qiu, Xuanjing Huang:
Towards Diverse Text Generation with Inverse Reinforcement Learning. CoRR abs/1804.11258 (2018) - [i26]Jingjing Gong, Xipeng Qiu, Shaojing Wang, Xuanjing Huang:
Information Aggregation via Dynamic Routing for Sequence Encoding. CoRR abs/1806.01501 (2018) - [i25]Chi Sun, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Gaussian Word Embedding with a Wasserstein Distance Loss. CoRR abs/1808.07016 (2018) - [i24]Junkun Chen, Kaiyu Chen, Xinchi Chen, Xipeng Qiu, Xuanjing Huang:
Exploring Shared Structures and Hierarchies for Multiple NLP Tasks. CoRR abs/1808.07658 (2018) - [i23]Shuyang Cao, Xipeng Qiu, Xuanjing Huang:
Deformable Stacked Structure for Named Entity Recognition. CoRR abs/1809.08730 (2018) - [i22]Pengfei Liu, Xuanjing Huang:
Meta-Learning Multi-task Communication. CoRR abs/1810.09988 (2018) - [i21]Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang:
Long Short-Term Memory with Dynamic Skip Connections. CoRR abs/1811.03873 (2018) - [i20]Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung:
Contextualized Non-local Neural Networks for Sequence Learning. CoRR abs/1811.08600 (2018) - 2017
- [i19]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Adversarial Multi-task Learning for Text Classification. CoRR abs/1704.05742 (2017) - [i18]Xinchi Chen, Zhan Shi, Xipeng Qiu, Xuanjing Huang:
Adversarial Multi-Criteria Learning for Chinese Word Segmentation. CoRR abs/1704.07556 (2017) - [i17]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Dynamic Compositional Neural Networks over Tree Structure. CoRR abs/1705.04153 (2017) - [i16]Xipeng Qiu, Jingjing Gong, Xuanjing Huang:
Overview of the NLPCC 2017 Shared Task: Chinese News Headline Categorization. CoRR abs/1706.02883 (2017) - [i15]Xinchi Chen, Zhan Shi, Xipeng Qiu, Xuanjing Huang:
DAG-based Long Short-Term Memory for Neural Word Segmentation. CoRR abs/1707.00248 (2017) - 2016
- [i14]Peng Qian, Xipeng Qiu, Xuanjing Huang:
Bridging LSTM Architecture and the Neural Dynamics during Reading. CoRR abs/1604.06635 (2016) - [i13]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Recurrent Neural Network for Text Classification with Multi-Task Learning. CoRR abs/1605.05101 (2016) - [i12]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Modelling Interaction of Sentence Pair with coupled-LSTMs. CoRR abs/1605.05573 (2016) - [i11]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Syntax-based Attention Model for Natural Language Inference. CoRR abs/1607.06556 (2016) - [i10]Xinchi Chen, Xipeng Qiu, Xuanjing Huang:
Neural Sentence Ordering. CoRR abs/1607.06952 (2016) - [i9]Jifan Chen, Kan Chen, Xipeng Qiu, Qi Zhang, Xuanjing Huang, Zheng Zhang:
Learning Word Embeddings from Intrinsic and Extrinsic Views. CoRR abs/1608.05852 (2016) - [i8]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Deep Multi-Task Learning with Shared Memory. CoRR abs/1609.07222 (2016) - [i7]Jiacheng Xu, Danlu Chen, Xipeng Qiu, Xuanjing Huang:
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification. CoRR abs/1610.04989 (2016) - [i6]Jingjing Gong, Xinchi Chen, Xipeng Qiu, Xuanjing Huang:
End-to-End Neural Sentence Ordering Using Pointer Network. CoRR abs/1611.04953 (2016) - [i5]Xinchi Chen, Xipeng Qiu, Xuanjing Huang:
A Long Dependency Aware Deep Architecture for Joint Chinese Word Segmentation and POS Tagging. CoRR abs/1611.05384 (2016) - [i4]Jiacheng Xu, Kan Chen, Xipeng Qiu, Xuanjing Huang:
Knowledge Graph Representation with Jointly Structural and Textual Encoding. CoRR abs/1611.08661 (2016) - 2015
- [i3]Chenxi Zhu, Xipeng Qiu, Xinchi Chen, Xuanjing Huang:
A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network. CoRR abs/1505.05667 (2015) - [i2]Xipeng Qiu, Peng Qian, Liusong Yin, Xuanjing Huang:
Overview of the NLPCC 2015 Shared Task: Chinese Word Segmentation and POS Tagging for Micro-blog Texts. CoRR abs/1505.07599 (2015) - [i1]Xinchi Chen, Xipeng Qiu, Jingxiang Jiang, Xuanjing Huang:
Gaussian Mixture Embeddings for Multiple Word Prototypes. CoRR abs/1511.06246 (2015)
Coauthor Index
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