default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBing Qin 0001
Person information
- affiliation: Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China
- affiliation (PhD 2005): Harbin Institute of Technology, Department of Computer Science, China
Other persons with the same name
- Bing Qin 0002 — Air Force Engineering University, Xi'an, China
- Bing Qin 0003 — Suqian First Hospital, 9Department of Ophthalmology, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2025
[j67]Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Bing Qin:
Exploring & exploiting high-order graph structure for sparse knowledge graph completion. Frontiers Comput. Sci. 19(2): 192306 (2025)- [j66]Xiao Ding
, Bibo Cai, Xue Li, Ting Liu, Bing Qin:
x-ECON: Explainable Event-Consumption Commonsense Reasoning. IEEE Trans. Big Data 11(3): 1066-1077 (2025) - [j65]Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Chi Liu, Nuwa Xi, Yanrui Du, Bing Qin, Ting Liu:
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese. ACM Trans. Knowl. Discov. Data 19(2): 53:1-53:17 (2025) - [j64]Zihan Zhang, Xiao Ding, Xia Liang, Yusheng Zhou, Bing Qin, Ting Liu:
Brain and Cognitive Science Inspired Deep Learning: A Comprehensive Survey. IEEE Trans. Knowl. Data Eng. 37(4): 1650-1671 (2025) - [j63]Jihao Shi, Xiao Ding, Siu Cheung Hui, Yuxiong Yan, Hengwei Zhao, Ting Liu, Bing Qin:
Final: Combining First-Order Logic With Natural Logic for Question Answering. IEEE Trans. Knowl. Data Eng. 37(6): 3103-3117 (2025) - [j62]Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu:
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. ACM Trans. Inf. Syst. 43(2): 42:1-42:55 (2025) - 2024
- [j61]Tao He, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin:
VEM2L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion. Data Min. Knowl. Discov. 38(2): 343-371 (2024) - [j60]Bowen Chen, Xiao Ding, Yi Zhao, Bo Fu, Tingmao Lin, Bing Qin, Ting Liu:
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty? Mach. Intell. Res. 21(2): 283-293 (2024) - [j59]Chenran Cai, Qianlong Wang, Bing Qin, Ruifeng Xu:
A multi-task framework based on decomposition for multimodal named entity recognition. Neurocomputing 604: 128388 (2024) - [j58]Tingting Wu, Xiao Ding, Li Du, Bing Qin, Ting Liu:
Reasoning subevent relation over heterogeneous event graph. Knowl. Inf. Syst. 66(9): 5311-5333 (2024) - [j57]Jinglong Gao, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin:
Event Causality Identification via Competitive-Cooperative Cognition Networks. Knowl. Based Syst. 300: 112139 (2024) - [j56]Zhangyin Feng, Duyu Tang, Xiaocheng Feng, Cong Zhou, Junwei Liao, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
Pretraining without wordpieces: learning over a vocabulary of millions of words. Int. J. Mach. Learn. Cybern. 15(9): 3989-3998 (2024) - [j55]Hao Yang, Zhengming Si, Yanyan Zhao, Jianwei Liu, Yang Wu, Bing Qin:
MACSA: A multimodal aspect-category sentiment analysis dataset with multimodal fine-grained aligned annotations. Multim. Tools Appl. 83(34): 81279-81297 (2024) - [j54]Tingting Wu, Xiao Ding, Hao Zhang, Minji Tang, Bing Qin, Ting Liu:
Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement. Neural Networks 176: 106383 (2024) - [j53]Qianlong Wang, Hongling Xu, Zhiyuan Wen, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu:
Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 15(3): 1264-1278 (2024) - [j52]Xiachong Feng, Xiaocheng Feng, Xiyuan Du, Min-Yen Kan, Bing Qin:
Adapter-Based Selective Knowledge Distillation for Federated Multi-Domain Meeting Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3694-3708 (2024) - [j51]Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Minji Tang, Li Du, Bing Qin, Ting Liu:
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. IEEE Trans. Multim. 26: 1957-1968 (2024) - 2023
- [j50]Jiaqi Li, Ming Liu, Yuxin Wang, Daxing Zhang, Bing Qin:
A speaker-aware multiparty dialogue discourse parser with heterogeneous graph neural network. Cogn. Syst. Res. 79: 15-23 (2023) - [j49]Zekun Wang, Haichao Zhu, Ming Liu, Bing Qin:
TAGNet: a tiny answer-guided network for conversational question generation. Int. J. Mach. Learn. Cybern. 14(5): 1921-1932 (2023) - 2022
- [j48]Sendong Zhao, Aobo Wang, Bing Qin, Fei Wang:
Biomedical evidence engineering for data-driven discovery. Bioinform. 38(23): 5270-5278 (2022) - [j47]Jiaqi Li, Ming Liu, Bing Qin, Ting Liu:
A survey of discourse parsing. Frontiers Comput. Sci. 16(5): 165329 (2022) - [j46]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
Enhancing pretrained language models with structured commonsense knowledge for textual inference. Knowl. Based Syst. 254: 109488 (2022) - [j45]Xinwei Geng, Longyue Wang, Xing Wang, Mingtao Yang, Xiaocheng Feng, Bing Qin, Zhaopeng Tu:
Learning to refine source representations for neural machine translation. Int. J. Mach. Learn. Cybern. 13(8): 2199-2212 (2022) - [j44]Jianhua Yuan, Yanyan Zhao, Bing Qin:
Learning to share by masking the non-shared for multi-domain sentiment classification. Int. J. Mach. Learn. Cybern. 13(9): 2711-2724 (2022) - [j43]Yiming Cui, Wanxiang Che, Ziqing Yang, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Interactive Gated Decoder for Machine Reading Comprehension. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(4): 72:1-72:19 (2022) - [j42]Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu:
Transforming Wikipedia Into Augmented Data for Query-Focused Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2357-2367 (2022) - [j41]Sendong Zhao, Meng Jiang, Bing Qin, Ting Liu, ChengXiang Zhai, Fei Wang:
Structural and Textual Information Fusion for Symptom and Disease Representation Learning. IEEE Trans. Knowl. Data Eng. 34(9): 4468-4483 (2022) - 2021
- [j40]Kai Xiong, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Heterogeneous graph knowledge enhanced stock market prediction. AI Open 2: 168-174 (2021) - [j39]Xiao Ding, Jihao Shi, Junwen Duan, Bing Qin, Ting Liu:
Quantifying the effects of long-term news on stock markets on the basis of the multikernel Hawkes process. Sci. China Inf. Sci. 64(9) (2021) - [j38]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) - [j37]Yang Wu, Yanyan Zhao, Xin Lu, Bing Qin, Yin Wu, Jian Sheng, Jinlong Li:
Modeling Incongruity between Modalities for Multimodal Sarcasm Detection. IEEE Multim. 28(2): 86-95 (2021) - [j36]Xiaocheng Feng, Heng Gong, Yuyu Chen, Yawei Sun, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning number reasoning for numerical table-to-text generation. Int. J. Mach. Learn. Cybern. 12(8): 2269-2280 (2021) - [j35]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang:
Pre-Training With Whole Word Masking for Chinese BERT. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3504-3514 (2021) - [j34]Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Biomedical Knowledge Graphs Construction From Conditional Statements. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 823-835 (2021) - 2020
- [j33]Lydia Lazib, Bing Qin, Yanyan Zhao, Weinan Zhang, Ting Liu:
A syntactic path-based hybrid neural network for negation scope detection. Frontiers Comput. Sci. 14(1): 84-94 (2020) - [j32]Xiaocheng Feng, Zhangyin Feng, Wanlong Zhao, Bing Qin, Ting Liu:
Enhanced Neural Machine Translation by Joint Decoding with Word and POS-tagging Sequences. Mob. Networks Appl. 25(5): 1722-1728 (2020) - [j31]Yijia Liu, Wanxiang Che, Yuxuan Wang, Bo Zheng, Bing Qin, Ting Liu:
Deep Contextualized Word Embeddings for Universal Dependency Parsing. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 9:1-9:17 (2020) - [j30]Yijia Liu, Wanxiang Che, Bing Qin, Ting Liu:
Exploring Segment Representations for Neural Semi-Markov Conditional Random Fields. IEEE ACM Trans. Audio Speech Lang. Process. 28: 813-824 (2020) - [j29]Yibo Sun, Duyu Tang, Nan Duan, Tao Qin, Shujie Liu, Zhao Yan, Ming Zhou, Yuanhua Lv, Wenpeng Yin, Xiaocheng Feng, Bing Qin, Ting Liu:
Joint Learning of Question Answering and Question Generation. IEEE Trans. Knowl. Data Eng. 32(5): 971-982 (2020) - 2019
- [j28]Han Xue, Bing Qin, Ting Liu, Shen Liu:
Tag recommendation based on topic hierarchy of folksonomy. Int. J. Comput. Sci. Eng. 20(1): 49-58 (2019) - [j27]Lydia Lazib, Yanyan Zhao, Bing Qin, Ting Liu:
Negation scope detection with recurrent neural networks models in review texts. Int. J. High Perform. Comput. Netw. 13(2): 211-221 (2019) - [j26]Yibo Sun, Zhao Yan, Duyu Tang, Nan Duan, Bing Qin:
Content-based table retrieval for web queries. Neurocomputing 349: 183-189 (2019) - [j25]Ming Liu, Yanyan Zhao, Bing Qin, Ting Liu:
Collective entity linking: a random walk-based perspective. Knowl. Inf. Syst. 60(3): 1611-1643 (2019) - [j24]Ming Liu, Gu Gong, Bing Qin, Ting Liu:
A Multi-View-Based Collective Entity Linking Method. ACM Trans. Inf. Syst. 37(2): 23:1-23:29 (2019) - 2018
- [j23]Xiaocheng Feng, Bing Qin, Ting Liu:
A language-independent neural network for event detection. Sci. China Inf. Sci. 61(9): 092106:1-092106:12 (2018) - 2017
- [j22]Luyang Li, Bing Qin, Ting Liu:
Contradiction Detection with Contradiction-Specific Word Embedding. Algorithms 10(2): 59 (2017) - [j21]Yanyan Zhao, Bing Qin, Ting Liu:
Encoding syntactic representations with a neural network for sentiment collocation extraction. Sci. China Inf. Sci. 60(11): 110101:1-110101:12 (2017) - [j20]Luyang Li, Bing Qin, Wenjing Ren, Ting Liu:
Document representation and feature combination for deceptive spam review detection. Neurocomputing 254: 33-41 (2017) - 2016
- [j19]Han Xue, Bing Qin, Ting Liu, Shen Liu:
Topic hierarchy construction from heterogeneous evidence. Frontiers Comput. Sci. 10(1): 136-146 (2016) - [j18]Yanyan Zhao, Bing Qin, Ting Liu, Duyu Tang:
Social sentiment sensor: a visualization system for topic detection and topic sentiment analysis on microblog. Multim. Tools Appl. 75(15): 8843-8860 (2016) - [j17]Han Xue, Bing Qin, Ting Liu:
Topical key concept extraction from folksonomy through graph-based ranking. Multim. Tools Appl. 75(15): 8875-8893 (2016) - [j16]Duyu Tang, Furu Wei, Bing Qin, Nan Yang, Ting Liu, Ming Zhou:
Sentiment Embeddings with Applications to Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 28(2): 496-509 (2016) - 2015
- [j15]Yanyan Zhao, Bing Qin, Ting Liu:
Creating a Fine-Grained Corpus for Chinese Sentiment Analysis. IEEE Intell. Syst. 30(1): 36-43 (2015) - [j14]Xiao Ding, Bing Qin, Ting Liu:
BUEES: a bottom-up event extraction system. Frontiers Inf. Technol. Electron. Eng. 16(7): 541-552 (2015) - [j13]Ruiji Fu, Bing Qin, Ting Liu:
Open-categorical text classification based on multi-LDA models. Soft Comput. 19(1): 29-38 (2015) - [j12]Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu:
Learning Semantic Hierarchies: A Continuous Vector Space Approach. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 461-471 (2015) - [j11]Duyu Tang, Bing Qin, Furu Wei, Li Dong, Ting Liu, Ming Zhou:
A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1750-1761 (2015) - [j10]Duyu Tang, Bing Qin, Ting Liu:
Deep learning for sentiment analysis: successful approaches and future challenges. WIREs Data Mining Knowl. Discov. 5(6): 292-303 (2015) - 2014
- [j9]Ruiji Fu, Bing Qin, Ting Liu:
Generating Chinese named entity data from parallel corpora. Frontiers Comput. Sci. 8(4): 629-641 (2014) - 2012
- [j8]Ruifang He, Bing Qin, Ting Liu:
A novel approach to update summarization using evolutionary manifold-ranking and spectral clustering. Expert Syst. Appl. 39(3): 2375-2384 (2012) - 2011
- [j7]Yanyan Zhao, Bing Qin, Wanxiang Che, Ting Liu:
Appraisal Expression Recognition with Syntactic Path for Sentence Sentiment Classification. Int. J. Comput. Process. Orient. Lang. 23(1): 21-37 (2011) - 2010
- [j6]Yiheng Chen, Bing Qin, Ting Liu, Yuanchao Liu, Sheng Li:
The Comparison of SOM and K-means for Text Clustering. Comput. Inf. Sci. 3(2): 268-274 (2010) - [j5]Ruifang He, Bing Qin, Ting Liu, Sheng Li:
Cascaded Regression Analysis Based Temporal Multi-document Summarization. Informatica (Slovenia) 34(1): 119-124 (2010) - 2009
- [j4]Jun Lang, Bing Qin, Ting Liu, Sheng Li:
Unsupervised Coreference Resolution with HyperGraph Partitioning. Comput. Inf. Sci. 2(4): 55-63 (2009) - 2008
- [j3]Ruifang He, Bing Qin, Ting Liu, Yuequn Pan, Sheng Li:
A Novel Heuristic Error-Driven Learning for Recognizing Chinese Time Expression. J. Chin. Lang. Comput. 18(4): 139-160 (2008) - [j2]Ruifang He, Bing Qin, Ting Liu, Yang Liu, Sheng Li:
Iterative Feedback Based Manifold-Ranking for Update Summary. Polibits 37: 5-13 (2008) - 2007
- [j1]Jun Lang, Bing Qin, Ting Liu, Sheng Li:
Intra-document Coreference Resolution: The state of the art. J. Chin. Lang. Comput. 17(4): 227-253 (2007)
Conference and Workshop Papers
- 2025
- [c215]Xinmiao Yu, Xiaocheng Feng, Yun Li, Minghui Liao, Ya-Qi Yu, Xiachong Feng, Weihong Zhong, Ruihan Chen, Mengkang Hu, Jihao Wu, Duyu Tang, Dandan Tu, Bing Qin:
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective. AAAI 2025: 9680-9688 - [c214]Yanrui Du, Sendong Zhao, Ming Ma, Yuhan Chen, Bing Qin:
Investigating the Security Threat Arising from "Yes-No" Implicit Bias in Large Language Models. AAAI 2025: 23823-23831 - [c213]Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin:
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues. AAAI 2025: 24032-24040 - [c212]Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li, Yangfan Ye, Zhirui Zhang, Dandan Tu, Duyu Tang, Yunfei Lu, Hui Wang, Bing Qin:
Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning. AAAI 2025: 24185-24193 - [c211]Zheng Chu, Jingchang Chen, Zhongjie Wang, Guo Tang, Qianglong Chen, Ming Liu, Bing Qin:
Towards Faithful Multi-step Reasoning through Fine-Grained Causal-aware Attribution Reasoning Distillation. COLING 2025: 2291-2315 - [c210]Weitao Ma, Xiaocheng Feng, Weihong Zhong, Lei Huang, Yangfan Ye, Xiachong Feng, Bing Qin:
Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis. COLING 2025: 5345-5363 - [c209]Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu:
LLMs May Perform MCQA by Selecting the Least Incorrect Option. COLING 2025: 5852-5862 - [c208]Zike Yuan, Ming Liu, Hui Wang, Bing Qin:
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models. COLING 2025: 7925-7948 - [c207]Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin:
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. COLING 2025: 9311-9328 - [c206]Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhiming Ma:
Improved Diffusion-based Generative Model with Better Adversarial Robustness. ICLR 2025 - [c205]Bichen Wang, Yuzhe Zi, Yixin Sun, Yanyan Zhao, Bing Qin:
Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs. NAACL (Long Papers) 2025: 1306-1321 - [c204]Yirong Zeng, Xiao Ding, Bibo Cai, Ting Liu, Bing Qin:
Exploring Large Language Models for Effective Rumor Detection on Social Media. NAACL (Long Papers) 2025: 2537-2552 - 2024
- [c203]Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin:
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. AAAI 2024: 18144-18152 - [c202]Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu:
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification. AAAI 2024: 19126-19134 - [c201]Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin:
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. AAAI 2024: 21958-21966 - [c200]Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin:
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation. ACL (1) 2024: 1044-1069 - [c199]Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu:
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. ACL (1) 2024: 1173-1203 - [c198]Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin:
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models. ACL (1) 2024: 1204-1228 - [c197]Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin:
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. ACL (1) 2024: 1229-1248 - [c196]Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu:
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. ACL (Findings) 2024: 3879-3890 - [c195]Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin:
Planning Like Human: A Dual-process Framework for Dialogue Planning. ACL (1) 2024: 4768-4791 - [c194]Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin:
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. ACL (1) 2024: 6385-6432 - [c193]Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Shi Jun, Ting Liu, Bing Qin:
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning. ACL (Findings) 2024: 9386-9406 - [c192]Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, GongZhang GongZhang, Bing Qin, Ting Liu:
AS-ES Learning: Towards efficient CoT learning in small models. ACL (Findings) 2024: 10686-10697 - [c191]Weixiang Zhao, Zhuojun Li, Shilong Wang, Yang Wang, Yulin Hu, Yanyan Zhao, Chen Wei, Bing Qin:
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence. ACL (Findings) 2024: 11157-11176 - [c190]Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che:
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models. ACL (1) 2024: 11641-11661 - [c189]Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin:
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models. ACL (1) 2024: 11991-12011 - [c188]Yuhang He, Jianzhu Bao, Yang Sun, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu:
Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning. ACL (Findings) 2024: 12305-12322 - [c187]Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin:
Learning Fine-Grained Grounded Citations for Attributed Large Language Models. ACL (Findings) 2024: 14095-14113 - [c186]Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin:
Causal-Guided Active Learning for Debiasing Large Language Models. ACL (1) 2024: 14455-14469 - [c185]Bichen Wang, Yixin Sun, Yuzhe Zi, Yanyan Zhao, Bing Qin:
Scale-CoT: Integrating LLM with Psychiatric Scales for Analyzing Mental Health Issues on Social Media. BIBM 2024: 2651-2658 - [c184]Yanrui Du, Sendong Zhao, Muzhen Cai, Ming Ma, Danyang Zhao, Jiawei Cao, Bing Qin:
Probing the Dual Logic Ability of Privatized Medical-Domain LLMs. BIBM 2024: 3182-3187 - [c183]Zijian Li, Sendong Zhao, Haochun Wang, Haoming Xu, Bing Qin, Ting Liu:
CMCOQA: A Chinese Medical Complex Open-Question Answering Benchmark. BIBM 2024: 3402-3407 - [c182]Zihao Zheng, Zihan Zhang, Zexin Wang, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition. LREC/COLING 2024: 4498-4508 - [c181]Bichen Wang, Yuzhe Zi, Yanyan Zhao, Pengfei Deng, Bing Qin:
ESDM: Early Sensing Depression Model in Social Media Streams. LREC/COLING 2024: 6288-6298 - [c180]Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Hui Wang, Bing Qin:
Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation. LREC/COLING 2024: 7901-7912 - [c179]Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin:
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict. LREC/COLING 2024: 14215-14226 - [c178]Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin:
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models. LREC/COLING 2024: 14937-14953 - [c177]Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin:
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. LREC/COLING 2024: 16527-16538 - [c176]Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin:
BC-Prover: Backward Chaining Prover for Formal Theorem Proving. EMNLP 2024: 3059-3077 - [c175]Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Advancing Large Language Model Attribution through Self-Improving. EMNLP 2024: 3822-3836 - [c174]Yichong Huang, Baohang Li, Xiaocheng Feng, Wenshuai Huo, Chengpeng Fu, Ting Liu, Bing Qin:
Aligning Translation-Specific Understanding to General Understanding in Large Language Models. EMNLP 2024: 5028-5041 - [c173]Yaojia Lv, Haojie Pan, Zekun Wang, Jiafeng Liang, Yuanxing Liu, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models. EMNLP (Findings) 2024: 6074-6091 - [c172]Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Extending Context Window of Large Language Models from a Distributional Perspective. EMNLP 2024: 7288-7301 - [c171]Guo Tang, Zheng Chu, Wenxiang Zheng, Ming Liu, Bing Qin:
Towards Benchmarking Situational Awareness of Large Language Models: Comprehensive Benchmark, Evaluation and Analysis. EMNLP (Findings) 2024: 7904-7928 - [c170]Shixin Jiang, Zerui Chen, Jiafeng Liang, Yanyan Zhao, Ming Liu, Bing Qin:
Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models. EMNLP (Findings) 2024: 8573-8591 - [c169]Liang Zhao, Xiachong Feng, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin, Ting Liu:
Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding. EMNLP (Findings) 2024: 9959-9977 - [c168]Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization. EMNLP 2024: 10803-10821 - [c167]Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills. ICASSP 2024: 11576-11580 - [c166]Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao, Maojin Yang, Bing Qin:
Retrieval-Generation Synergy Augmented Large Language Models. ICASSP 2024: 11661-11665 - [c165]Zihao Zheng, Tao He, Ming Liu, Zhongyuan Wang, Ruiji Fu, Bing Qin:
Relational Graph-Bridged Image-Text Interaction: A Novel Method for Multi-Modal Relation Extraction. ICASSP 2024: 12647-12651 - [c164]Bichen Wang, Pengfei Deng, Song Chen, Yanyan Zhao, Bing Qin:
Leveraging Psychiatric Scale for Suicide Risk Detection on Social Media. ICWSM 2024: 1599-1610 - [c163]Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. IJCAI 2024: 1065-1073 - [c162]Shixin Jiang, Ming Liu, Bing Qin:
Fusion Pruning for Large Language Models. ISCSLP 2024: 349-352 - [c161]Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao:
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. NeurIPS 2024 - [c160]Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin:
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation. NeurIPS 2024 - [c159]Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin:
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability. NeurIPS 2024 - [c158]Yuxuan Gu, Xiaocheng Feng, Lei Huang, Yingsheng Wu, Zekun Zhou, Weihong Zhong, Kun Zhu, Bing Qin:
Discrete Modeling via Boundary Conditional Diffusion Processes. NeurIPS 2024 - [c157]Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Ting Liu, Bing Qin:
Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration. NeurIPS 2024 - [c156]Xin Lu, Yanyan Zhao, Bing Qin, Liangyu Huo, Qing Yang, Dongliang Xu:
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers. NeurIPS 2024 - [c155]Jinglong Gao, Chen Lu, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin:
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion. NLPCC (4) 2024: 67-80 - [c154]Baohang Li, Zekai Ye, Yichong Huang, Xiaocheng Feng, Bing Qin:
SCIR-MT's Submission for WMT24 General Machine Translation Task. WMT 2024: 280-285 - 2023
- [c153]Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin:
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. AAAI 2023: 3715-3723 - [c152]Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang:
Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning. AAAI 2023: 12580-12588 - [c151]Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin:
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment. AAAI 2023: 14020-14028 - [c150]Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin, Jingshuo Liu:
Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing. ACL (1) 2023: 2868-2882 - [c149]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin:
Towards Higher Pareto Frontier in Multilingual Machine Translation. ACL (1) 2023: 3802-3818 - [c148]Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. ACL (Findings) 2023: 4856-4873 - [c147]Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin:
Improved Visual Story Generation with Adaptive Context Modeling. ACL (Findings) 2023: 4939-4955 - [c146]Weixiang Zhao, Yanyan Zhao, Shilong Wang, Bing Qin:
TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition. ACL (Findings) 2023: 6725-6739 - [c145]Yice Zhang, Yifan Yang, Bin Liang, Shiwei Chen, Bing Qin, Ruifeng Xu:
An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis. ACL (Findings) 2023: 9633-9651 - [c144]Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Weihong Zhong, Bing Qin:
Controllable Text Generation via Probability Density Estimation in the Latent Space. ACL (1) 2023: 12590-12616 - [c143]Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang:
A Diffusion Model for Event Skeleton Generation. ACL (Findings) 2023: 12630-12641 - [c142]Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu:
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. ACL (1) 2023: 13277-13291 - [c141]Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin:
Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness. ACL (Findings) 2023: 13331-13344 - [c140]Wenjia Yi, Yanyan Zhao, Jianhua Yuan, Weixiang Zhao, Bing Qin:
Improving Affective Event Classification with Multi-perspective Knowledge Injection. CCL 2023: 400-416 - [c139]Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Muzhen Cai, Bing Qin:
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making. EMNLP (Findings) 2023: 1101-1112 - [c138]Chenran Cai, Qianlong Wang, Bin Liang, Bing Qin, Min Yang, Kam-Fai Wong, Ruifeng Xu:
In-context Learning for Few-shot Multimodal Named Entity Recognition. EMNLP (Findings) 2023: 2969-2979 - [c137]Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin:
Hierarchical Catalogue Generation for Literature Review: A Benchmark. EMNLP (Findings) 2023: 6790-6804 - [c136]Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin:
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. EMNLP (Findings) 2023: 7572-7590 - [c135]Bichen Wang, Pengfei Deng, Yanyan Zhao, Bing Qin:
C2D2 Dataset: A Resource for the Cognitive Distortion Analysis and Its Impact on Mental Health. EMNLP (Findings) 2023: 10149-10160 - [c134]Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu:
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. EMNLP (Findings) 2023: 11111-11126 - [c133]Geng Tu, Bin Liang, Bing Qin, Kam-Fai Wong, Ruifeng Xu:
An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations. EMNLP (Findings) 2023: 12160-12173 - [c132]Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Hui Wang, Bing Qin, Ting Liu:
Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations. EMNLP (Findings) 2023: 12608-12618 - [c131]Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu:
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. EMNLP 2023: 14855-14870 - [c130]Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin:
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document. EMNLP (Findings) 2023: 15218-15233 - [c129]Jie Huang, Xiachong Feng, Yangfan Ye, Liang Zhao, Xiaocheng Feng, Bing Qin, Ting Liu:
Dialogue Context Modelling for Action Item Detection: Solution for ICASSP 2023 Mug Challenge Track 5. ICASSP 2023: 1-2 - [c128]Xin Lu, Weixiang Zhao, Yanyan Zhao, Bing Qin, Zhentao Zhang, Junjie Wen:
A Topic-Enhanced Approach for Emotion Distribution Forecasting in Conversations. ICASSP 2023: 1-5 - [c127]Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation. IJCAI 2023: 1177-1185 - [c126]Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin:
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. IJCAI 2023: 5039-5048 - [c125]Chenran Cai, Qin Zhao, Ruifeng Xu, Bing Qin:
Improving Conversational Aspect-Based Sentiment Quadruple Analysis with Overall Modeling. NLPCC (3) 2023: 149-161 - [c124]Chenran Cai, Qin Zhao, Ruifeng Xu, Bing Qin:
Multimodal Dialogue Understanding via Holistic Modeling and Sequence Labeling. NLPCC (3) 2023: 399-411 - [c123]Chi Liu, Haochun Wang, Nuwa Xi, Sendong Zhao, Bing Qin:
Global Prompt Cell: A Portable Control Module for Effective Prompt Tuning. NLPCC (1) 2023: 657-668 - [c122]Yang Wu, Pai Peng, Zhenyu Zhang, Yanyan Zhao, Bing Qin:
An End-to-End Transformer with Progressive Tri-Modal Attention for Multi-modal Emotion Recognition. PRCV (7) 2023: 396-408 - [c121]Xin Lu, Zhuojun Li, Yanpeng Tong, Yanyan Zhao, Bing Qin:
HIT-SCIR at WASSA 2023: Empathy and Emotion Analysis at the Utterance-Level and the Essay-Level. WASSA@ACL 2023: 574-580 - [c120]Zhenran Xu, Zifei Shan, Yuxin Li, Baotian Hu, Bing Qin:
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark. WSDM 2023: 832-840 - 2022
- [c119]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. ACL (1) 2022: 432-446 - [c118]Yang Wu, Yanyan Zhao, Hao Yang, Song Chen, Bing Qin, Xiaohuan Cao, Wenting Zhao:
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors. ACL (Findings) 2022: 1397-1406 - [c117]Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin:
A Graph Enhanced BERT Model for Event Prediction. ACL (Findings) 2022: 2628-2638 - [c116]Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Jiaming Wu, Heng Gong, Bing Qin:
Improving Controllable Text Generation with Position-Aware Weighted Decoding. ACL (Findings) 2022: 3449-3467 - [c115]Xiachong Feng, Xiaocheng Feng, Bing Qin:
MSAMSum: Towards Benchmarking Multi-lingual Dialogue Summarization. DialDoc@ACL 2022: 1-12 - [c114]Yirong Zeng, Xiao Ding, Li Du, Ting Liu, Bing Qin:
CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning. CCKS 2022: 111-122 - [c113]Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu:
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. COLING 2022: 1422-1431 - [c112]Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu:
CogBERT: Cognition-Guided Pre-trained Language Models. COLING 2022: 3210-3225 - [c111]Jianhua Yuan, Yanyan Zhao, Yanyue Lu, Bing Qin:
SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection. COLING 2022: 6846-6858 - [c110]Weixiang Zhao, Yanyan Zhao, Bing Qin:
MuCDN: Mutual Conversational Detachment Network for Emotion Recognition in Multi-Party Conversations. COLING 2022: 7020-7030 - [c109]Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin:
A Distributional Lens for Multi-Aspect Controllable Text Generation. EMNLP 2022: 1023-1043 - [c108]Xuan Luo, Chuang Fan, Yice Zhang, Wanguo Jiang, Bing Qin, Ruifeng Xu:
Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering. EMNLP (Findings) 2022: 3200-3213 - [c107]Hao Yang, Yanyan Zhao, Bing Qin:
Face-Sensitive Image-to-Emotional-Text Cross-modal Translation for Multimodal Aspect-based Sentiment Analysis. EMNLP 2022: 3324-3335 - [c106]Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai:
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. EMNLP 2022: 6426-6438 - [c105]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin:
Unifying the Convergences in Multilingual Neural Machine Translation. EMNLP 2022: 6822-6835 - [c104]Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing. EMNLP 2022: 7587-7598 - [c103]Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei:
Distilled Dual-Encoder Model for Vision-Language Understanding. EMNLP 2022: 8901-8913 - [c102]Jianzhu Bao, Yuhang He, Yang Sun, Bin Liang, Jiachen Du, Bing Qin, Min Yang, Ruifeng Xu:
A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism. EMNLP 2022: 10437-10449 - [c101]Xiachong Feng, Xiaocheng Feng, Bing Qin:
A Survey on Dialogue Summarization: Recent Advances and New Frontiers. IJCAI 2022: 5453-5460 - [c100]Yang Wu, Zhenyu Zhang, Pai Peng, Yanyan Zhao, Bing Qin:
Leveraging Multi-modal Interactions among the Intermediate Representations of Deep Transformers for Emotion Recognition. MuSe @ ACM Multimedia 2022: 101-109 - [c99]Rui Wang, Qianlong Wang, Bin Liang, Yi Chen, Zhiyuan Wen, Bing Qin, Ruifeng Xu:
Masking and Generation: An Unsupervised Method for Sarcasm Detection. SIGIR 2022: 2172-2177 - 2021
- [c98]Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu:
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. ACL/IJCNLP (1) 2021: 1479-1491 - [c97]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. ACL/IJCNLP (1) 2021: 2354-2363 - [c96]Yang Wu, Zijie Lin, Yanyan Zhao, Bing Qin, Li-Nan Zhu:
A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis. ACL/IJCNLP (Findings) 2021: 4730-4738 - [c95]Li Du, Xiao Ding, Ting Liu, Bing Qin:
Learning Event Graph Knowledge for Abductive Reasoning. ACL/IJCNLP (1) 2021: 5181-5190 - [c94]Xin Zhang, Jianhua Yuan, Yanyan Zhao, Bing Qin:
Knowledge Enhanced Target-Aware Stance Detection on Tweets. CCKS 2021: 171-184 - [c93]Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin:
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps. CIKM 2021: 4135-4144 - [c92]Xiachong Feng, Xiaocheng Feng, Bing Qin:
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks. CCL 2021: 127-142 - [c91]Haichao Zhu, Zekun Wang, Heng Zhang, Ming Liu, Sendong Zhao, Bing Qin:
Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension. EMNLP (Findings) 2021: 1102-1113 - [c90]Xin Lu, Yijian Tian, Yanyan Zhao, Bing Qin:
Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots. EMNLP (Findings) 2021: 1956-1969 - [c89]Xinwei Geng, Xiaocheng Feng, Bing Qin:
Learning to Rewrite for Non-Autoregressive Neural Machine Translation. EMNLP (1) 2021: 3297-3308 - [c88]Jihao Shi, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Neural Natural Logic Inference for Interpretable Question Answering. EMNLP (1) 2021: 3673-3684 - [c87]Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng:
Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization. IJCAI 2021: 3808-3814 - [c86]Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. IJCNN 2021: 1-8 - [c85]Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin:
An Aspect-Centralized Graph Convolutional Network for Aspect-Based Sentiment Classification. NLPCC (2) 2021: 260-271 - [c84]Yang Wu, Zhenyu Zhang, Yanyan Zhao, Bing Qin:
Locate and Combine: A Two-Stage Framework for Aspect-Category Sentiment Analysis. NLPCC (1) 2021: 595-606 - 2020
- [c83]Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. AAAI 2020: 7716-7723 - [c82]Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang:
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. AAAI 2020: 8960-8967 - [c81]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? ACL 2020: 2986-2995 - [c80]Tianwen Jiang, Ning Zhang, Ming Liu, Meng Jiang, Ting Liu, Bing Qin:
Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources. BIBM 2020: 275-280 - [c79]Heng Gong, Yawei Sun, Xiaocheng Feng, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu:
TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching. COLING 2020: 1978-1988 - [c78]Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin:
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. COLING 2020: 2642-2652 - [c77]Xin Lu, Yanyan Zhao, Yang Wu, Yijian Tian, Huipeng Chen, Bing Qin:
An Iterative Emotion Interaction Network for Emotion Recognition in Conversations. COLING 2020: 4078-4088 - [c76]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Revisiting Pre-Trained Models for Chinese Natural Language Processing. EMNLP (Findings) 2020: 657-668 - [c75]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. EMNLP (Findings) 2020: 1536-1547 - [c74]Heng Gong, Wei Bi, Xiaocheng Feng, Bing Qin, Xiaojiang Liu, Ting Liu:
Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification. EMNLP (Findings) 2020: 2905-2914 - [c73]Ming Liu, Zihao Zheng, Bing Qin, Yitong Liu:
A Passage-Level Text Similarity Calculation. NLPCC (1) 2020: 207-218 - [c72]Zhenyu Hu, Ming Liu, Yin Wu, Jiexin Xu, Bing Qin, Jinlong Li:
Document-Level Event Subject Pair Recognition. NLPCC (1) 2020: 283-293 - [c71]Xiao Ding, Dingkui Hao, Yuewei Zhang, Kuo Liao, Zhongyang Li, Bing Qin, Ting Liu:
HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection. SemEval@COLING 2020: 354-360 - 2019
- [c70]Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin:
Exploring Answer Stance Detection with Recurrent Conditional Attention. AAAI 2019: 7426-7433 - [c69]Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu:
Learning to Ask Unanswerable Questions for Machine Reading Comprehension. ACL (1) 2019: 4238-4248 - [c68]Tianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
CTGA: Graph-based Biomedical Literature Search. BIBM 2019: 395-400 - [c67]Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu:
Table-to-Text Generation via Row-Aware Hierarchical Encoder. CCL 2019: 533-544 - [c66]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text. EMNLP/IJCNLP (1) 2019: 302-312 - [c65]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Cross-Lingual Machine Reading Comprehension. EMNLP/IJCNLP (1) 2019: 1586-1595 - [c64]Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin, Chin-Yew Lin:
Enhancing Neural Data-To-Text Generation Models with External Background Knowledge. EMNLP/IJCNLP (1) 2019: 3020-3030 - [c63]Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu:
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). EMNLP/IJCNLP (1) 2019: 3141-3150 - [c62]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model. KDD 2019: 1634-1642 - [c61]Dawei Cong, Yanyan Zhao, Bing Qin, Yu Han, Murray Zhang, Alden Liu, Nat Chen:
Hierarchical Attention based Neural Network for Explainable Recommendation. ICMR 2019: 373-381 - [c60]Yibo Sun, Duyu Tang, Jingjing Xu, Nan Duan, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Knowledge-Aware Conversational Semantic Parsing over Web Tables. NLPCC (1) 2019: 827-839 - 2018
- [c59]Haichao Zhu, Furu Wei, Bing Qin, Ting Liu:
Hierarchical Attention Flow for Multiple-Choice Reading Comprehension. AAAI 2018: 6077-6085 - [c58]Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Semantic Parsing with Syntax- and Table-Aware SQL Generation. ACL (1) 2018: 361-372 - [c57]Yijia Liu, Wanxiang Che, Huaipeng Zhao, Bing Qin, Ting Liu:
Distilling Knowledge for Search-based Structured Prediction. ACL (1) 2018: 1393-1402 - [c56]Sendong Zhao, Meng Jiang, Ming Liu, Bing Qin, Ting Liu:
CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data. BCB 2018: 184-193 - [c55]Dawei Cong, Jianhua Yuan, Yanyan Zhao, Bing Qin:
A Joint Model for Sentiment Classification and Opinion Words Extraction. CCL 2018: 337-347 - [c54]Xinwei Geng, Xiaocheng Feng, Bing Qin, Ting Liu:
Adaptive Multi-pass Decoder for Neural Machine Translation. EMNLP 2018: 523-532 - [c53]Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu:
An AMR Aligner Tuned by Transition-based Parser. EMNLP 2018: 2422-2430 - [c52]Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu:
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer. IJCAI 2018: 4071-4077 - [c51]Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu:
Topic-to-Essay Generation with Neural Networks. IJCAI 2018: 4078-4084 - [c50]Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider, Noah A. Smith:
Parsing Tweets into Universal Dependencies. NAACL-HLT 2018: 965-975 - 2017
- [c49]Weinan Zhang, Ting Liu, Bing Qin, Yu Zhang, Wanxiang Che, Yanyan Zhao, Xiao Ding:
Benben: A Chinese Intelligent Conversational Robot. ACL (System Demonstrations) 2017: 13-18 - [c48]Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu:
Constructing Semantic Hierarchies via Fusion Learning Architecture. CCIR 2017: 136-148 - [c47]Jiahao Liu, Chengjie Sun, Bing Qin:
Deep Learning Based Document Theme Analysis for Composition Generation. CCL 2017: 333-342 - [c46]Stan Zhao, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu, ChengXiang Zhai:
ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data. IJCAI 2017: 3497-3503 - [c45]Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu, Yongjie Liu:
Effective Deep Memory Networks for Distant Supervised Relation Extraction. IJCAI 2017: 4002-4008 - [c44]Jianhua Yuan, Huaipeng Zhao, Yanyan Zhao, Dawei Cong, Bing Qin, Ting Liu:
Babbling - The HIT-SCIR System for Emotional Conversation Generation. NLPCC 2017: 632-641 - [c43]Jianhua Yuan, Yanyan Zhao, Bing Qin, Ting Liu:
Local Contexts Are Effective for Neural Aspect Extraction. SMP 2017: 244-255 - [c42]Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, Bin Wang, ChengXiang Zhai:
Constructing and Embedding Abstract Event Causality Networks from Text Snippets. WSDM 2017: 335-344 - 2016
- [c41]Xiaocheng Feng, Lifu Huang, Duyu Tang, Heng Ji, Bing Qin, Ting Liu:
A Language-Independent Neural Network for Event Detection. ACL (2) 2016 - [c40]Xiaocheng Feng, Duyu Tang, Bing Qin, Ting Liu:
English-Chinese Knowledge Base Translation with Neural Network. COLING 2016: 2935-2944 - [c39]Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu:
Effective LSTMs for Target-Dependent Sentiment Classification. COLING 2016: 3298-3307 - [c38]Duyu Tang, Bing Qin, Ting Liu:
Aspect Level Sentiment Classification with Deep Memory Network. EMNLP 2016: 214-224 - [c37]Lydia Lazib, Yanyan Zhao, Bing Qin, Ting Liu:
Negation Scope Detection with Recurrent Neural Networks Models in Review Texts. ICYCSEE (1) 2016: 494-508 - [c36]Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu:
Exploring Segment Representations for Neural Segmentation Models. IJCAI 2016: 2880-2886 - [c35]Yijia Liu, Wanxiang Che, Bing Qin, Ting Liu:
HC-Search for Incremental Parsing. IJCAI 2016: 2887-2893 - [c34]Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, Mohammad Al-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphée De Clercq, Véronique Hoste, Marianna Apidianaki, Xavier Tannier, Natalia V. Loukachevitch, Evgeniy V. Kotelnikov, Núria Bel, Salud María Jiménez-Zafra, Gülsen Eryigit:
SemEval-2016 Task 5: Aspect Based Sentiment Analysis. SemEval@NAACL-HLT 2016: 19-30 - [c33]Yanyan Zhao, Shengqiu Li, Bing Qin, Ting Liu:
Encoding Dependency Representation with Convolutional Neural Network for Target-Polarity Word Collocation Extraction. SMP 2016: 42-53 - 2015
- [c32]Muyu Zhang, Bing Qin, Mao Zheng, Graeme Hirst, Ting Liu:
Encoding Distributional Semantics into Triple-Based Knowledge Ranking for Document Enrichment. ACL (1) 2015: 524-533 - [c31]Duyu Tang, Bing Qin, Ting Liu:
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification. ACL (1) 2015: 1014-1023 - [c30]Luyang Li, Wenjing Ren, Bing Qin, Ting Liu:
Learning Document Representation for Deceptive Opinion Spam Detection. CCL 2015: 393-404 - [c29]Duyu Tang, Bing Qin, Ting Liu:
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification. EMNLP 2015: 1422-1432 - [c28]Duyu Tang, Bing Qin, Ting Liu, Yuekui Yang:
User Modeling with Neural Network for Review Rating Prediction. IJCAI 2015: 1340-1346 - [c27]Yijia Liu, Yue Zhang, Wanxiang Che, Bing Qin:
Transition-Based Syntactic Linearization. HLT-NAACL 2015: 113-122 - [c26]Muyu Zhang, Vanessa Wei Feng, Bing Qin, Graeme Hirst, Ting Liu, Jingwen Huang:
Encoding World Knowledge in the Evaluation of Local Coherence. HLT-NAACL 2015: 1087-1096 - [c25]Yanyan Zhao, Bing Qin, Zhenjiang Dong, Hong Chen, Ting Liu:
What Causes Different Emotion Distributions of a Hot Event? A Deep Event-Emotion Analysis System on Microblogs. NLPCC 2015: 453-464 - [c24]Luyang Li, Bing Qin, Ting Liu:
Generating Triples Based on Dependency Parsing for Contradiction Detection. SMP 2015: 200-208 - 2014
- [c23]Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu:
Learning Semantic Hierarchies via Word Embeddings. ACL (1) 2014: 1199-1209 - [c22]Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, Bing Qin:
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification. ACL (1) 2014: 1555-1565 - [c21]Yanyan Zhao, Bing Qin, Ting Liu:
Clustering Product Aspects Using Two Effective Aspect Relations for Opinion Mining. CCL 2014: 120-130 - [c20]Duyu Tang, Furu Wei, Bing Qin, Ming Zhou, Ting Liu:
Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach. COLING 2014: 172-182 - [c19]Muyu Zhang, Bing Qin, Ting Liu, Mao Zheng:
Triple based Background Knowledge Ranking for Document Enrichment. COLING 2014: 917-927 - [c18]Yanyan Zhao, Wanxiang Che, Honglei Guo, Bing Qin, Zhong Su, Ting Liu:
Sentence Compression for Target-Polarity Word Collocation Extraction. COLING 2014: 1360-1369 - [c17]Duyu Tang, Furu Wei, Bing Qin, Li Dong, Ting Liu, Ming Zhou:
A Joint Segmentation and Classification Framework for Sentiment Analysis. EMNLP 2014: 477-487 - [c16]Yanyan Zhao, Bing Qin, Ting Liu:
Aspect-Object Alignment Using Integer Linear Programming. NLPCC 2014: 193-204 - [c15]Duyu Tang, Furu Wei, Bing Qin, Ting Liu, Ming Zhou:
Coooolll: A Deep Learning System for Twitter Sentiment Classification. SemEval@COLING 2014: 208-212 - 2013
- [c14]Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu, Ji-Rong Wen:
Improving Web Search Ranking by Incorporating Structured Annotation of Queries. EMNLP 2013: 468-478 - [c13]Yuhang Guo, Bing Qin, Ting Liu, Sheng Li:
Microblog Entity Linking by Leveraging Extra Posts. EMNLP 2013: 863-868 - [c12]Ruiji Fu, Bing Qin, Ting Liu:
Exploiting Multiple Sources for Open-Domain Hypernym Discovery. EMNLP 2013: 1224-1234 - [c11]Xiao Ding, Bing Qin, Ting Liu:
Building Chinese Event Type Paradigm Based on Trigger Clustering. IJCNLP 2013: 311-319 - [c10]Han Xue, Bing Qin, Ting Liu, Chao Xiang:
Topical Key Concept Extraction from Folksonomy. IJCNLP 2013: 480-488 - [c9]Yuhang Guo, Bing Qin, Yuqin Li, Ting Liu, Sheng Li:
Improving Candidate Generation for Entity Linking. NLDB 2013: 225-236 - [c8]Duyu Tang, Bing Qin, Ting Liu, Zhenghua Li:
Learning Sentence Representation for Emotion Classification on Microblogs. NLPCC 2013: 212-223 - 2012
- [c7]Yanyan Zhao, Bing Qin, Ting Liu:
Collocation Polarity Disambiguation Using Web-based Pseudo Contexts. EMNLP-CoNLL 2012: 160-170 - 2011
- [c6]Wei-Peng Chen, Muyu Zhang, Bing Qin:
Coreference Resolution System using Maximum Entropy Classifier. CoNLL Shared Task 2011: 127-130 - [c5]Ruiji Fu, Bing Qin, Ting Liu:
Generating Chinese Named Entity Data from a Parallel Corpus. IJCNLP 2011: 264-272 - 2010
- [c4]Yanyan Zhao, Bing Qin, Shen Hu, Ting Liu:
Generalizing Syntactic Structures for Product Attribute Candidate Extraction. HLT-NAACL 2010: 377-380 - 2009
- [c3]Wanxiang Che, Zhenghua Li, Yongqiang Li, Yuhang Guo, Bing Qin, Ting Liu:
Multilingual Dependency-based Syntactic and Semantic Parsing. CoNLL Shared Task 2009: 49-54 - 2008
- [c2]Wanxiang Che, Zhenghua Li, Yuxuan Hu, Yongqiang Li, Bing Qin, Ting Liu, Sheng Li:
A Cascaded Syntactic and Semantic Dependency Parsing System. CoNLL 2008: 238-242 - [c1]Bing Qin, Yanyan Zhao, Leilei Gao, Ting Liu:
Recommended or Not? Give Advice on Online Products. FSKD (4) 2008: 208-212
Editorship
- 2023
- [e4]Maosong Sun, Bing Qin, Xipeng Qiu, Jing Jiang, Xianpei Han, Gaoqi Rao, Yubo Chen:
Chinese Computational Linguistics - 22nd China National Conference, CCL 2023, Harbin, China, August 3-5, 2023, Proceedings. Lecture Notes in Computer Science 14232, Springer 2023, ISBN 978-981-99-6206-8 [contents] - 2022
- [e3]Bing Qin, Haofen Wang, Ming Liu, Jiangtao Zhang:
CCKS 2021 - Evaluation Track - 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, Guangzhou, China, December 25-26, 2021, Revised Selected Papers. Communications in Computer and Information Science 1553, Springer 2022, ISBN 978-981-19-0712-8 [contents] - 2021
- [e2]Bing Qin, Zhi Jin, Haofen Wang, Jeff Z. Pan, Yongbin Liu, Bo An:
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction - 6th China Conference, CCKS 2021, Guangzhou, China, November 4-7, 2021, Proceedings. Communications in Computer and Information Science 1466, Springer 2021, ISBN 978-981-16-6470-0 [contents] - 2019
- [e1]Xiaoyan Zhu, Bing Qin, Xiaodan Zhu, Ming Liu, Longhua Qian:
Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding - 4th China Conference, CCKS 2019, Hangzhou, China, August 24-27, 2019, Revised Selected Papers. Communications in Computer and Information Science 1134, Springer 2019, ISBN 978-981-15-1955-0 [contents]
Informal and Other Publications
- 2025
- [i181]Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Wu Ning, Yutai Hou, Xu Huang, Bing Qin, Ting Liu:
Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning. CoRR abs/2501.09766 (2025) - [i180]Lei Huang, Xiaocheng Feng, Weitao Ma, Yuchun Fan, Xiachong Feng, Yangfan Ye, Weihong Zhong, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Bing Qin:
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization. CoRR abs/2501.13573 (2025) - [i179]Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong, Jinglong Gao, Zhouhao Sun, Dongliang Xu, Qing Yang, Dongchen Li, Bing Qin, Ting Liu:
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection. CoRR abs/2502.11062 (2025) - [i178]Runxuan Liu, Bei Luo, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin:
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering. CoRR abs/2502.11491 (2025) - [i177]Jiayin Lan, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin:
NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM. CoRR abs/2502.14192 (2025) - [i176]Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma:
Improved Diffusion-based Generative Model with Better Adversarial Robustness. CoRR abs/2502.17099 (2025) - [i175]Zike Yuan, Ming Liu, Hui Wang, Bing Qin:
MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications. CoRR abs/2502.18540 (2025) - [i174]Weixiang Zhao, Yulin Hu, Yang Deng, Jiahe Guo, Xingyu Sui, Xinyang Han, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu:
Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs. CoRR abs/2502.20968 (2025) - [i173]Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li, Yangfan Ye, Zhirui Zhang, Dandan Tu, Duyu Tang, Yunfei Lu, Hui Wang, Bing Qin:
Enhancing Non-English Capabilities of English-Centric Large Language Models through Deep Supervision Fine-Tuning. CoRR abs/2503.01275 (2025) - [i172]Zekun Zhou, Xiaocheng Feng, Lei Huang, Xiachong Feng, Ziyun Song, Ruihan Chen, Liang Zhao, Weitao Ma, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Ting Liu, Bing Qin:
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems. CoRR abs/2503.01424 (2025) - [i171]Weixiang Zhao, Xingyu Sui, Xinyang Han, Yang Deng, Yulin Hu, Jiahe Guo, Libo Qin, Qianyun Du, Shijin Wang, Yanyan Zhao, Bing Qin, Ting Liu:
Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter. CoRR abs/2503.05362 (2025) - [i170]Weixiang Zhao, Xingyu Sui, Jiahe Guo, Yulin Hu, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che, Tat-Seng Chua, Ting Liu:
Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities. CoRR abs/2503.17979 (2025) - [i169]Weixiang Zhao, Jiahe Guo, Yulin Hu, Yang Deng, An Zhang, Xingyu Sui, Xinyang Han, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu:
AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender. CoRR abs/2504.09466 (2025) - [i168]Zhouhao Sun, Xiao Ding, Li Du, Yunpeng Xu, Yixuan Ma, Yang Zhao, Bing Qin, Ting Liu:
Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models. CoRR abs/2504.12898 (2025) - [i167]Tao He, Lizi Liao, Ming Liu, Bing Qin:
Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy Planning. CoRR abs/2504.13643 (2025) - [i166]Yang Zhao, Kai Xiong, Xiao Ding, Li Du, YangouOuyang, Zhouhao Sun, Jiannan Guan, Wenbin Zhang, Bin Liu, Dong Hu, Bing Qin, Ting Liu:
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection. CoRR abs/2505.12457 (2025) - [i165]Haochun Wang, Sendong Zhao, Jingbo Wang, Zewen Qiang, Bing Qin, Ting Liu:
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems. CoRR abs/2505.12467 (2025) - [i164]Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin:
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency. CoRR abs/2505.14405 (2025) - [i163]Weixiang Zhao, Jiahe Guo, Yang Deng, Tongtong Wu, Wenxuan Zhang, Yulin Hu, Xingyu Sui, Yanyan Zhao, Wanxiang Che, Bing Qin, Tat-Seng Chua, Ting Liu:
When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners. CoRR abs/2505.15257 (2025) - [i162]Weixiang Zhao, Xingyu Sui, Yulin Hu, Jiahe Guo, Haixiao Liu, Biye Li, Yanyan Zhao, Bing Qin, Ting Liu:
Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment. CoRR abs/2505.15456 (2025) - [i161]Zhouhao Sun, Zhiyuan Kan, Xiao Ding, Li Du, Yang Zhao, Bing Qin, Ting Liu:
Benchmarking and Pushing the Multi-Bias Elimination Boundary of LLMs via Causal Effect Estimation-guided Debiasing. CoRR abs/2505.16522 (2025) - [i160]Weixiang Zhao, Yulin Hu, Yang Deng, Tongtong Wu, Wenxuan Zhang, Jiahe Guo, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu:
MPO: Multilingual Safety Alignment via Reward Gap Optimization. CoRR abs/2505.16869 (2025) - [i159]Xin Lu, Yanyan Zhao, Si Wei, Shijin Wang, Bing Qin, Ting Liu:
How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation. CoRR abs/2505.18522 (2025) - [i158]Yi Jiang, Sendong Zhao, Jianbo Li, Haochun Wang, Bing Qin:
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis. CoRR abs/2505.18710 (2025) - [i157]Zheng Chu, Huiming Fan, Jingchang Chen, Qianyu Wang, Ming-Hsuan Yang, Jiafeng Liang, Zhongjie Wang, Hao Li, Guo Tang, Ming Liu, Bing Qin:
Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering. CoRR abs/2505.19112 (2025) - 2024
- [i156]Yichong Huang, Xiaocheng Feng, Baohang Li, Chengpeng Fu, Wenshuai Huo, Ting Liu, Bing Qin:
Aligning Translation-Specific Understanding to General Understanding in Large Language Models. CoRR abs/2401.05072 (2024) - [i155]Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che:
DAPT: A Dual Attention Framework for Parameter-Efficient Continual Learning of Large Language Models. CoRR abs/2401.08295 (2024) - [i154]Yaojia Lv, Haojie Pan, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models. CoRR abs/2401.08438 (2024) - [i153]Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin:
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. CoRR abs/2401.11403 (2024) - [i152]Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu:
Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis. CoRR abs/2401.16107 (2024) - [i151]Haochun Wang, Sendong Zhao, Zewen Qiang, Bing Qin, Ting Liu:
Beyond the Answers: Reviewing the Rationality of Multiple Choice Question Answering for the Evaluation of Large Language Models. CoRR abs/2402.01349 (2024) - [i150]Weixiang Zhao, Zhuojun Li, Shilong Wang, Yang Wang, Yulin Hu, Yanyan Zhao, Chen Wei, Bing Qin:
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence. CoRR abs/2402.10073 (2024) - [i149]Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Jun Shi, Ting Liu, Bing Qin:
Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning. CoRR abs/2402.11537 (2024) - [i148]Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, Bing Qin, Ting Liu:
AS-ES Learning: Towards Efficient CoT Learning in Small Models. CoRR abs/2403.01969 (2024) - [i147]Xin Lu, Yanyan Zhao, Bing Qin:
Vanilla Transformers are Transfer Capability Teachers. CoRR abs/2403.01994 (2024) - [i146]Xin Lu, Yanyan Zhao, Bing Qin:
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider Transformer Models. CoRR abs/2403.02436 (2024) - [i145]Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu:
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. CoRR abs/2403.08377 (2024) - [i144]Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao:
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. CoRR abs/2403.09085 (2024) - [i143]Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin:
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict. CoRR abs/2403.16662 (2024) - [i142]Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin:
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. CoRR abs/2404.01677 (2024) - [i141]Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Bing Qin, Ting Liu:
Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration. CoRR abs/2404.12715 (2024) - [i140]Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Hui Wang, Bing Qin, Ting Liu:
Relay Decoding: Concatenating Large Language Models for Machine Translation. CoRR abs/2405.02933 (2024) - [i139]Weixiang Zhao, Yulin Hu, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Tat-Seng Chua:
Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching. CoRR abs/2405.13820 (2024) - [i138]Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin:
MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability. CoRR abs/2405.14488 (2024) - [i137]Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin:
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation. CoRR abs/2405.20092 (2024) - [i136]Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin:
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation. CoRR abs/2406.01549 (2024) - [i135]Bichen Wang, Yuzhe Zi, Yixin Sun, Yanyan Zhao, Bing Qin:
RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language Models. CoRR abs/2406.01983 (2024) - [i134]Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu:
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. CoRR abs/2406.02911 (2024) - [i133]Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin:
Planning Like Human: A Dual-process Framework for Dialogue Planning. CoRR abs/2406.05374 (2024) - [i132]Hao Yang, Yanyan Zhao, Yang Wu, Shilong Wang, Tian Zheng, Hongbo Zhang, Wanxiang Che, Bing Qin:
Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey. CoRR abs/2406.08068 (2024) - [i131]Weitao Ma, Xiaocheng Feng, Weihong Zhong, Lei Huang, Yangfan Ye, Bing Qin:
Rethinking Entity-level Unlearning for Large Language Models. CoRR abs/2406.15796 (2024) - [i130]Muzhen Cai, Sendong Zhao, Haochun Wang, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu:
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views. CoRR abs/2406.18020 (2024) - [i129]Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin:
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. CoRR abs/2406.18227 (2024) - [i128]Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin:
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. CoRR abs/2406.19820 (2024) - [i127]Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin:
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models. CoRR abs/2407.00569 (2024) - [i126]Zike Yuan, Ming Liu, Hui Wang, Bing Qin:
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models. CoRR abs/2407.02936 (2024) - [i125]Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin:
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. CoRR abs/2407.08937 (2024) - [i124]Jinglong Gao, Chen Lu, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin:
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion. CoRR abs/2408.03079 (2024) - [i123]Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin:
Learning Fine-Grained Grounded Citations for Attributed Large Language Models. CoRR abs/2408.04568 (2024) - [i122]Kai Xiong, Xiao Ding, Li Du, Jiahao Ying, Ting Liu, Bing Qin, Yixin Cao:
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning. CoRR abs/2408.11431 (2024) - [i121]Li Du, Zhouhao Sun, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin:
Causal-Guided Active Learning for Debiasing Large Language Models. CoRR abs/2408.12942 (2024) - [i120]Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Huiming Fan, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin:
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. CoRR abs/2409.13199 (2024) - [i119]Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
Supervised Fine-Tuning: An Activation Pattern Optimization Process for Attention Heads. CoRR abs/2409.15820 (2024) - [i118]Yexing Du, Ziyang Ma, Yifan Yang, Keqi Deng, Xie Chen, Bo Yang, Yang Xiang, Ming Liu, Bing Qin:
CoT-ST: Enhancing LLM-based Speech Translation with Multimodal Chain-of-Thought. CoRR abs/2409.19510 (2024) - [i117]Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Extending Context Window of Large Language Models from a Distributional Perspective. CoRR abs/2410.01490 (2024) - [i116]Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization. CoRR abs/2410.04087 (2024) - [i115]Weixiang Zhao, Yulin Hu, Jiahe Guo, Xingyu Sui, Tongtong Wu, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che, Ting Liu:
Lens: Rethinking Multilingual Enhancement for Large Language Models. CoRR abs/2410.04407 (2024) - [i114]Yanrui Du, Sendong Zhao, Jiawei Cao, Ming Ma, Danyang Zhao, Fenglei Fan, Ting Liu, Bing Qin:
Towards Secure Tuning: Mitigating Security Risks Arising from Benign Instruction Fine-Tuning. CoRR abs/2410.04524 (2024) - [i113]Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Advancing Large Language Model Attribution through Self-Improving. CoRR abs/2410.13298 (2024) - [i112]Yuxuan Gu, Xiaocheng Feng, Lei Huang, Yingsheng Wu, Zekun Zhou, Weihong Zhong, Kun Zhu, Bing Qin:
Discrete Modeling via Boundary Conditional Diffusion Processes. CoRR abs/2410.22380 (2024) - [i111]Hao Yang, Zhenyu Zhang, Yanyan Zhao, Bing Qin:
Data Uncertainty-Aware Learning for Multimodal Aspect-based Sentiment Analysis. CoRR abs/2412.01249 (2024) - [i110]Di Wu, Xin Lu, Yanyan Zhao, Bing Qin:
Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models. CoRR abs/2412.11041 (2024) - [i109]Shixin Jiang, Jiafeng Liang, Ming Liu, Bing Qin:
From Specific-MLLM to Omni-MLLM: A Survey about the MLLMs alligned with Multi-Modality. CoRR abs/2412.11694 (2024) - [i108]Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Libo Qin, Yichong Huang, Lei Huang, Weitao Ma, Zhirui Zhang, Yunfei Lu, Xiaohui Yan, Duyu Tang, Dandan Tu, Bing Qin:
XTransplant: A Probe into the Upper Bound Performance of Multilingual Capability and Culture Adaptability in LLMs via Mutual Cross-lingual Feed-forward Transplantation. CoRR abs/2412.12686 (2024) - [i107]Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin:
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues. CoRR abs/2412.14584 (2024) - [i106]Yuxuan Gu, Wenjie Wang, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Tat-Seng Chua, Bing Qin:
Length Controlled Generation for Black-box LLMs. CoRR abs/2412.14656 (2024) - [i105]Xinmiao Yu, Xiaocheng Feng, Yun Li, Minghui Liao, Ya-Qi Yu, Xiachong Feng, Weihong Zhong, Ruihan Chen, Mengkang Hu, Jihao Wu, Dandan Tu, Duyu Tang, Bing Qin:
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective. CoRR abs/2412.17787 (2024) - [i104]Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Zhirui Zhang, Yunfei Lu, Dandan Tu, Duyu Tang, Hui Wang, Bing Qin, Ting Liu:
Ensuring Consistency for In-Image Translation. CoRR abs/2412.18139 (2024) - 2023
- [i103]Xiachong Feng, Xiaocheng Feng, Bing Qin:
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning. CoRR abs/2301.09237 (2023) - [i102]Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin:
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. CoRR abs/2302.09736 (2023) - [i101]Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin:
Hierarchical Catalogue Generation for Literature Review: A Benchmark. CoRR abs/2304.03512 (2023) - [i100]Chi Liu, Haochun Wang, Nuwa Xi, Sendong Zhao, Bing Qin:
Global Prompt Cell: A Portable Control Module for Effective Prompt. CoRR abs/2304.05642 (2023) - [i99]Haochun Wang, Chi Liu, Nuwa Xi, Zewen Qiang, Sendong Zhao, Bing Qin, Ting Liu:
HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge. CoRR abs/2304.06975 (2023) - [i98]Weixiang Zhao, Yanyan Zhao, Xin Lu, Shilong Wang, Yanpeng Tong, Bing Qin:
Is ChatGPT Equipped with Emotional Dialogue Capabilities? CoRR abs/2304.09582 (2023) - [i97]Xiachong Feng, Xiaocheng Feng, Bing Qin:
The Role of Summarization in Generative Agents: A Preliminary Perspective. CoRR abs/2305.01253 (2023) - [i96]Weixiang Zhao, Yanyan Zhao, Shilong Wang, Bing Qin:
TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition. CoRR abs/2305.03296 (2023) - [i95]Yang Wu, Yanyan Zhao, Zhongyang Li, Bing Qin, Kai Xiong:
Improving Cross-Task Generalization with Step-by-Step Instructions. CoRR abs/2305.04429 (2023) - [i94]Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu:
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. CoRR abs/2305.07375 (2023) - [i93]Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. CoRR abs/2305.10709 (2023) - [i92]Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin:
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate. CoRR abs/2305.11595 (2023) - [i91]Hao Yang, Can Gao, Hao Liu, Xinyan Xiao, Yanyan Zhao, Bing Qin:
UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning. CoRR abs/2305.13697 (2023) - [i90]Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Ming Liu, Bing Qin:
SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models. CoRR abs/2305.15033 (2023) - [i89]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin:
Towards Higher Pareto Frontier in Multilingual Machine Translation. CoRR abs/2305.15718 (2023) - [i88]Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin:
Improved Visual Story Generation with Adaptive Context Modeling. CoRR abs/2305.16811 (2023) - [i87]Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang:
A Diffusion Model for Event Skeleton Generation. CoRR abs/2305.17458 (2023) - [i86]Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi:
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills. CoRR abs/2306.16176 (2023) - [i85]Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Zheng Chu, Bing Qin:
Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion. CoRR abs/2306.17034 (2023) - [i84]Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu:
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. CoRR abs/2307.05355 (2023) - [i83]Xiachong Feng, Xiaocheng Feng, Xiyuan Du, Min-Yen Kan, Bing Qin:
Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization. CoRR abs/2308.03275 (2023) - [i82]Yanrui Du, Sendong Zhao, Yuhan Chen, Rai Bai, Jing Liu, Hua Wu, Haifeng Wang, Bing Qin:
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue. CoRR abs/2309.04162 (2023) - [i81]Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu:
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification. CoRR abs/2309.04174 (2023) - [i80]Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Nuwa Xi, Yanrui Du, Muzhen Cai, Haoqiang Guo, Yuhan Chen, Haoming Xu, Bing Qin, Ting Liu:
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese. CoRR abs/2309.04175 (2023) - [i79]Yanrui Du, Sendong Zhao, Muzhen Cai, Jianyu Chen, Haochun Wang, Yuhan Chen, Haoqiang Guo, Bing Qin:
The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature. CoRR abs/2309.04198 (2023) - [i78]Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin:
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. CoRR abs/2309.05203 (2023) - [i77]Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu:
A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. CoRR abs/2309.15402 (2023) - [i76]Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao, Maojin Yang, Bing Qin:
Retrieval-Generation Synergy Augmented Large Language Models. CoRR abs/2310.05149 (2023) - [i75]Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Muzhen Cai, Bing Qin:
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making. CoRR abs/2310.13610 (2023) - [i74]Yang Wu, Shilong Wang, Hao Yang, Tian Zheng, Hongbo Zhang, Yanyan Zhao, Bing Qin:
An Early Evaluation of GPT-4V(ision). CoRR abs/2310.16534 (2023) - [i73]Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin:
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document. CoRR abs/2311.04816 (2023) - [i72]Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu:
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. CoRR abs/2311.05232 (2023) - [i71]Zhangyin Feng, Weitao Ma, Weijiang Yu, Lei Huang, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu:
Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications. CoRR abs/2311.05876 (2023) - [i70]Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin:
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models. CoRR abs/2311.17667 (2023) - [i69]Yanrui Du, Sendong Zhao, Ming Ma, Yuhan Chen, Bing Qin:
Analyzing the Inherent Response Tendency of LLMs: Real-World Instructions-Driven Jailbreak. CoRR abs/2312.04127 (2023) - [i68]Haojie Pan, Zepeng Zhai, Hao Yuan, Yaojia Lv, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin:
KwaiAgents: Generalized Information-seeking Agent System with Large Language Models. CoRR abs/2312.04889 (2023) - [i67]Zhangyin Feng, Runyi Hu, Liangxin Liu, Fan Zhang, Duyu Tang, Yong Dai, Xiaocheng Feng, Jiwei Li, Bing Qin, Shuming Shi:
Emage: Non-Autoregressive Text-to-Image Generation. CoRR abs/2312.14988 (2023) - [i66]Liang Zhao, Xiaocheng Feng, Xiachong Feng, Bing Qin, Ting Liu:
Length Extrapolation of Transformers: A Survey from the Perspective of Position Encoding. CoRR abs/2312.17044 (2023) - 2022
- [i65]Zhangyin Feng, Duyu Tang, Cong Zhou, Junwei Liao, Shuangzhi Wu, Xiaocheng Feng, Bing Qin, Yunbo Cao, Shuming Shi:
Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words. CoRR abs/2202.12142 (2022) - [i64]Yang Wu, Yanyan Zhao, Hao Yang, Song Chen, Bing Qin, Xiaohuan Cao, Wenting Zhao:
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors. CoRR abs/2203.00257 (2022) - [i63]Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin:
OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation. CoRR abs/2205.01620 (2022) - [i62]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. CoRR abs/2205.05849 (2022) - [i61]Li Du, Xiao Ding, Yue Zhang, Kai Xiong, Ting Liu, Bing Qin:
A Graph Enhanced BERT Model for Event Prediction. CoRR abs/2205.10822 (2022) - [i60]Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Hua Wu, Haifeng Wang, Bing Qin:
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. CoRR abs/2205.12593 (2022) - [i59]Hao Yang, Yanyan Zhao, Jianwei Liu, Yang Wu, Bing Qin:
MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations. CoRR abs/2206.13969 (2022) - [i58]Tao He, Tianwen Jiang, Zihao Zheng, Haichao Zhu, Jingrun Zhang, Ming Liu, Sendong Zhao, Bing Qin:
VEM2L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion. CoRR abs/2207.01528 (2022) - [i57]Zhenran Xu, Zifei Shan, Yuxin Li, Baotian Hu, Bing Qin:
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark. CoRR abs/2207.13005 (2022) - [i56]Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Li Du, Bing Qin, Ting Liu:
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. CoRR abs/2208.09884 (2022) - [i55]Bowen Chen, Xiao Ding, Li Du, Bing Qin, Ting Liu:
Text Difficulty Study: Do machines behave the same as humans regarding text difficulty? CoRR abs/2208.14509 (2022) - [i54]Pengfei Deng, Jianhua Yuan, Yanyan Zhao, Bing Qin:
Zero-shot Aspect-level Sentiment Classification via Explicit Utilization of Aspect-to-Document Sentiment Composition. CoRR abs/2209.02276 (2022) - [i53]Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu:
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. CoRR abs/2209.06453 (2022) - [i52]Yang Wu, Pai Peng, Zhenyu Zhang, Yanyan Zhao, Bing Qin:
An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition. CoRR abs/2209.09768 (2022) - [i51]Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin:
A Distributional Lens for Multi-Aspect Controllable Text Generation. CoRR abs/2210.02889 (2022) - [i50]Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin:
Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness. CoRR abs/2210.03884 (2022) - [i49]Haojie Pan, Yuzhou Zhang, Zepeng Zhai, Ruiji Fu, Ming Liu, Yangqiu Song, Zhongyuan Wang, Bing Qin:
Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia. CoRR abs/2211.00732 (2022) - [i48]Ming Liu, Yaojia Lv, Jingrun Zhang, Ruiji Fu, Bing Qin:
BigCilin: An Automatic Chinese Open-domain Knowledge Graph with Fine-grained Hypernym-Hyponym Relations. CoRR abs/2211.03612 (2022) - [i47]Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin:
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment. CoRR abs/2212.02995 (2022) - [i46]Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin:
Controllable Text Generation via Probability Density Estimation in the Latent Space. CoRR abs/2212.08307 (2022) - [i45]Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Bing Qin, Yi Zheng, Baoxing Huai:
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. CoRR abs/2212.08322 (2022) - [i44]Jianhua Yuan, Yanyan Zhao, Bing Qin:
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning. CoRR abs/2212.10392 (2022) - 2021
- [i43]Jianhua Yuan, Yanyan Zhao, Bing Qin, Ting Liu:
Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification. CoRR abs/2104.08480 (2021) - [i42]Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. CoRR abs/2104.12377 (2021) - [i41]Yi-Chong Huang, Xia-Chong Feng, Xiao-Cheng Feng, Bing Qin:
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey. CoRR abs/2104.14839 (2021) - [i40]Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu:
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. CoRR abs/2105.12544 (2021) - [i39]Xiachong Feng, Xiaocheng Feng, Bing Qin:
A Survey on Dialogue Summarization: Recent Advances and New Frontiers. CoRR abs/2107.03175 (2021) - [i38]Zhongyang Li, Xiao Ding, Kuo Liao, Ting Liu, Bing Qin:
CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision. CoRR abs/2107.09852 (2021) - [i37]Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin:
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps. CoRR abs/2108.09104 (2021) - [i36]Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei:
Distilled Dual-Encoder Model for Vision-Language Understanding. CoRR abs/2112.08723 (2021) - 2020
- [i35]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. CoRR abs/2002.08155 (2020) - [i34]Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. CoRR abs/2002.10210 (2020) - [i33]Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin:
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. CoRR abs/2004.05080 (2020) - [i32]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Revisiting Pre-Trained Models for Chinese Natural Language Processing. CoRR abs/2004.13922 (2020) - [i31]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? CoRR abs/2005.00979 (2020) - [i30]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network. CoRR abs/2006.09610 (2020) - [i29]Xiachong Feng, Xiaocheng Feng, Bing Qin, Ting Liu:
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks. CoRR abs/2010.10044 (2020) - [i28]Sendong Zhao, Bing Qin, Ting Liu, Fei Wang:
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules. CoRR abs/2012.01031 (2020) - [i27]Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng, Ting Liu:
Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization. CoRR abs/2012.03502 (2020) - 2019
- [i26]Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu:
Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes. CoRR abs/1903.03282 (2019) - [i25]Tianwen Jiang, Sendong Zhao, Jing Liu, Jin-Ge Yao, Ming Liu, Bing Qin, Ting Liu, Chin-Yew Lin:
Towards Time-Aware Distant Supervision for Relation Extraction. CoRR abs/1903.03289 (2019) - [i24]Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu:
Learning to Ask Unanswerable Questions for Machine Reading Comprehension. CoRR abs/1906.06045 (2019) - [i23]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping Hu:
Pre-Training with Whole Word Masking for Chinese BERT. CoRR abs/1906.08101 (2019) - [i22]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements. CoRR abs/1907.00720 (2019) - [i21]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Cross-Lingual Machine Reading Comprehension. CoRR abs/1909.00361 (2019) - [i20]Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu:
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). CoRR abs/1909.02304 (2019) - [i19]Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang:
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. CoRR abs/1909.05438 (2019) - [i18]Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu:
Transforming Wikipedia into Augmented Data for Query-Focused Summarization. CoRR abs/1911.03324 (2019) - [i17]Jiaqi Li, Ming Liu, Bing Qin, Zihao Zheng, Ting Liu:
An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension. CoRR abs/1911.03514 (2019) - 2018
- [i16]Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider, Noah A. Smith:
Parsing Tweets into Universal Dependencies. CoRR abs/1804.08228 (2018) - [i15]Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Semantic Parsing with Syntax- and Table-Aware SQL Generation. CoRR abs/1804.08338 (2018) - [i14]Yijia Liu, Wanxiang Che, Huaipeng Zhao, Bing Qin, Ting Liu:
Distilling Knowledge for Search-based Structured Prediction. CoRR abs/1805.11224 (2018) - [i13]Yibo Sun, Daya Guo, Duyu Tang, Nan Duan, Zhao Yan, Xiaocheng Feng, Bing Qin:
Knowledge Based Machine Reading Comprehension. CoRR abs/1809.04267 (2018) - [i12]Yibo Sun, Duyu Tang, Nan Duan, Jingjing Xu, Xiaocheng Feng, Bing Qin:
Knowledge-Aware Conversational Semantic Parsing Over Web Tables. CoRR abs/1809.04271 (2018) - [i11]Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu:
An AMR Aligner Tuned by Transition-based Parser. CoRR abs/1810.03541 (2018) - [i10]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
Learning to Refine Source Representations for Neural Machine Translation. CoRR abs/1812.10230 (2018) - 2016
- [i9]Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu:
Exploring Segment Representations for Neural Segmentation Models. CoRR abs/1604.05499 (2016) - [i8]Duyu Tang, Bing Qin, Ting Liu:
Aspect Level Sentiment Classification with Deep Memory Network. CoRR abs/1605.08900 (2016) - [i7]Luyang Li, Bing Qin, Wenjing Ren, Ting Liu:
Truth Discovery with Memory Network. CoRR abs/1611.01868 (2016) - 2015
- [i6]Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu:
Target-Dependent Sentiment Classification with Long Short Term Memory. CoRR abs/1512.01100 (2015) - [i5]Duyu Tang, Bing Qin, Xinwei Geng, Dandan Ning, Jiahao Liu, Ting Liu:
A Planning based Framework for Essay Generation. CoRR abs/1512.05919 (2015) - 2014
- [i4]Duyu Tang, Bing Qin, Ting Liu, Qiuhui Shi:
Emotion Analysis Platform on Chinese Microblog. CoRR abs/1403.7335 (2014) - 2013
- [i3]Duyu Tang, Bing Qin, Lanjun Zhou, Kam-Fai Wong, Yanyan Zhao, Ting Liu:
Domain-Specific Sentiment Word Extraction by Seed Expansion and Pattern Generation. CoRR abs/1309.6722 (2013) - 2012
- [i2]Yuhang Guo, Bing Qin, Ting Liu, Sheng Li:
HIT Approaches to Entity Linking at TAC 2012. TAC 2012 - 2008
- [i1]Ruifang He, Yang Liu, Bing Qin, Ting Liu, Sheng Li:
HITIR's Update Summary at TAC 2008: Extractive Content Selection for Language Independence. TAC 2008
Coauthor Index
[j66] [j64] [j63] [j60] [j58] [j57] [j54] [j51] [j46] [j40] [j39] [j14] [c204] [c194] [c193] [c186] [c179] [c177] [c161] [c155] [c152] [c150] [c148] [c136] [c134] [c119] [c117] [c114] [c112] [c106] [c104] [c97] [c95] [c88] [c71] [c49] [c14] [c11] [i181] [i179] [i168] [i166] [i161] [i149] [i144] [i143] [i142] [i125] [i124] [i122] [i121] [i119] [i94] [i93] [i92] [i62] [i61] [i56] [i55] [i45] [i38]
Xiaocheng Feng
aka: Xiao-Cheng Feng
aka: Xiao-Cheng Feng
[j62] [j56] [j52] [j45] [j36] [j32] [j29] [j23] [c215] [c212] [c210] [c200] [c189] [c187] [c180] [c175] [c174] [c172] [c169] [c168] [c167] [c166] [c158] [c157] [c154] [c153] [c149] [c147] [c144] [c137] [c132] [c129] [c116] [c115] [c109] [c105] [c101] [c98] [c92] [c89] [c87] [c83] [c82] [c79] [c75] [c74] [c67] [c64] [c63] [c60] [c58] [c54] [c52] [c51] [c45] [c41] [c40] [c39] [i180] [i173] [i172] [i156] [i141] [i140] [i136] [i131] [i127] [i123] [i117] [i116] [i113] [i112] [i108] [i106] [i105] [i104] [i103] [i102] [i101] [i97] [i89] [i88] [i86] [i83] [i76] [i72] [i71] [i67] [i66] [i65] [i63] [i51] [i46] [i41] [i40] [i39] [i35] [i34] [i29] [i27] [i20] [i19] [i15] [i13] [i12] [i6]
Yichong Huang
aka: Yi-Chong Huang
aka: Yi-Chong Huang
[j67] [j61] [j50] [j49] [j47] [j25] [j24] [c213] [c211] [c208] [c207] [c206] [c199] [c198] [c197] [c195] [c182] [c178] [c173] [c171] [c170] [c165] [c163] [c162] [c160] [c130] [c127] [c103] [c93] [c91] [c86] [c80] [c78] [c73] [c72] [c56] [c51] [c48] [e3] [e1] [i178] [i177] [i176] [i175] [i167] [i164] [i154] [i137] [i133] [i129] [i128] [i126] [i120] [i118] [i109] [i107] [i90] [i85] [i77] [i73] [i70] [i68] [i58] [i49] [i48] [i42] [i37] [i36] [i33] [i26] [i25] [i17]
[j66] [j65] [j64] [j63] [j62] [j60] [j58] [j57] [j54] [j51] [j47] [j46] [j43] [j42] [j41] [j40] [j39] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c209] [c204] [c202] [c199] [c194] [c193] [c192] [c186] [c183] [c179] [c177] [c174] [c169] [c161] [c157] [c155] [c152] [c150] [c148] [c142] [c136] [c134] [c132] [c129] [c119] [c117] [c114] [c113] [c112] [c106] [c104] [c98] [c97] [c95] [c88] [c86] [c83] [c81] [c80] [c79] [c78] [c76] [c75] [c74] [c71] [c69] [c68] [c67] [c66] [c65] [c63] [c62] [c60] [c59] [c58] [c57] [c56] [c54] [c53] [c52] [c51] [c49] [c48] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [c28] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c5] [c4] [c3] [c2] [c1] [i181] [i179] [i174] [i172] [i171] [i170] [i169] [i168] [i166] [i165] [i163] [i162] [i161] [i160] [i159] [i156] [i152] [i151] [i149] [i148] [i144] [i143] [i142] [i141] [i140] [i130] [i125] [i124] [i122] [i121] [i119] [i115] [i114] [i104] [i99] [i94] [i93] [i92] [i84] [i81] [i80] [i77] [i72] [i71] [i66] [i62] [i61] [i56] [i55] [i53] [i43] [i42] [i40] [i38] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i18] [i17] [i15] [i14] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
[j55] [j44] [j37] [j33] [j27] [j25] [j21] [j18] [j15] [j7] [c205] [c191] [c190] [c185] [c181] [c170] [c164] [c156] [c151] [c146] [c141] [c140] [c135] [c128] [c122] [c121] [c118] [c111] [c110] [c107] [c100] [c96] [c94] [c90] [c85] [c84] [c77] [c70] [c61] [c55] [c49] [c44] [c43] [c37] [c34] [c33] [c25] [c21] [c18] [c16] [c7] [c4] [c1] [i174] [i171] [i170] [i169] [i163] [i162] [i160] [i159] [i155] [i150] [i147] [i146] [i139] [i135] [i132] [i115] [i111] [i110] [i98] [i96] [i95] [i91] [i74] [i64] [i59] [i54] [i52] [i50] [i47] [i44] [i43] [i3]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-06-27 19:36 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
