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2020 – today
- 2024
- [j13]Ying Zhang
, Fandong Meng
, Yufeng Chen
, Jinan Xu
, Jie Zhou
:
Complex Question Enhanced Transfer Learning for Zero-Shot Joint Information Extraction. IEEE ACM Trans. Audio Speech Lang. Process. 32: 261-275 (2024) - [j12]Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Decentralized Decoupled Training for Federated Long-Tailed Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c119]Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou:
Generative Multi-Modal Knowledge Retrieval with Large Language Models. AAAI 2024: 18733-18741 - [c118]Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou:
Teaching Large Language Models to Translate with Comparison. AAAI 2024: 19488-19496 - [c117]Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou:
Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models. AAAI 2024: 19560-19568 - [c116]Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. ACL (1) 2024: 133-145 - [c115]Yong Hu, Fandong Meng, Jie Zhou:
CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers. ACL (1) 2024: 146-159 - [c114]Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou:
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. ACL (1) 2024: 3800-3814 - [c113]Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Min Zhang, Jinsong Su:
Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation. ACL (Findings) 2024: 5472-5485 - [c112]Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang:
TasTe: Teaching Large Language Models to Translate through Self-Reflection. ACL (1) 2024: 6144-6158 - [c111]Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective. ACL (Findings) 2024: 7040-7051 - [c110]Xinwei Long, Jiali Zeng, Fandong Meng, Jie Zhou, Bowen Zhou:
Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever. ACL (Findings) 2024: 7559-7569 - [c109]Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation. ACL (Findings) 2024: 9201-9214 - [c108]Zengkui Sun, Yijin Liu, Jiaan Wang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
Outdated Issue Aware Decoding for Factual Knowledge Editing. ACL (Findings) 2024: 9282-9293 - [c107]Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou:
Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation. ACL (1) 2024: 10914-10928 - [c106]Jiaan Wang, Yunlong Liang, Zengkui Sun, Yuxuan Cao, Jiarong Xu, Fandong Meng:
Cross-Lingual Knowledge Editing in Large Language Models. ACL (1) 2024: 11676-11686 - [c105]Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang:
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding. LREC/COLING 2024: 4423-4437 - [c104]Liqiang Niu, Fandong Meng, Jie Zhou:
UMTIT: Unifying Recognition, Translation, and Generation for Multimodal Text Image Translation. LREC/COLING 2024: 16953-16972 - [c103]Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun:
Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs. ICLR 2024 - [c102]Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang:
Large Language Models Are Not Robust Multiple Choice Selectors. ICLR 2024 - [i138]Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou:
Generative Multi-Modal Knowledge Retrieval with Large Language Models. CoRR abs/2401.08206 (2024) - [i137]Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng:
Prompt-Driven LLM Safeguarding via Directed Representation Optimization. CoRR abs/2401.18018 (2024) - [i136]Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. CoRR abs/2402.18150 (2024) - [i135]Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou:
On Large Language Models' Hallucination with Regard to Known Facts. CoRR abs/2403.20009 (2024) - [i134]Yijin Liu, Fandong Meng, Jie Zhou:
Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy. CoRR abs/2404.06954 (2024) - [i133]Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective. CoRR abs/2404.07549 (2024) - [i132]Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou:
Language Generation with Strictly Proper Scoring Rules. CoRR abs/2405.18906 (2024) - [i131]Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou:
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. CoRR abs/2405.18922 (2024) - [i130]Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang:
LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation. CoRR abs/2406.01441 (2024) - [i129]Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation. CoRR abs/2406.02876 (2024) - [i128]Zengkui Sun, Yijin Liu, Jiaan Wang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
Outdated Issue Aware Decoding for Reasoning Questions on Edited Knowledge. CoRR abs/2406.02882 (2024) - [i127]Ning Cheng, Changhao Guan, Jing Gao, Weihao Wang, You Li, Fandong Meng, Jie Zhou, Bin Fang, Jinan Xu, Wenjuan Han:
Touch100k: A Large-Scale Touch-Language-Vision Dataset for Touch-Centric Multimodal Representation. CoRR abs/2406.03813 (2024) - [i126]Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang:
TasTe: Teaching Large Language Models to Translate through Self-Reflection. CoRR abs/2406.08434 (2024) - [i125]Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
Multilingual Knowledge Editing with Language-Agnostic Factual Neurons. CoRR abs/2406.16416 (2024) - [i124]Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou:
C-LLM: Learn to Check Chinese Spelling Errors Character by Character. CoRR abs/2406.16536 (2024) - [i123]Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Min Zhang, Jinsong Su:
Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation. CoRR abs/2407.02894 (2024) - [i122]Chenze Shao, Fandong Meng, Jie Zhou:
Patch-Level Training for Large Language Models. CoRR abs/2407.12665 (2024) - [i121]Yijie Chen, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
Beyond Binary Gender: Evaluating Gender-Inclusive Machine Translation with Ambiguous Attitude Words. CoRR abs/2407.16266 (2024) - 2023
- [j11]Yongjing Yin
, Jiali Zeng, Jinsong Su, Chulun Zhou, Fandong Meng, Jie Zhou
, Degen Huang, Jiebo Luo
:
Multi-modal graph contrastive encoding for neural machine translation. Artif. Intell. 323: 103986 (2023) - [j10]Chulun Zhou
, Yunlong Liang
, Fandong Meng
, Jie Zhou, Jinan Xu
, Hongji Wang
, Min Zhang, Jinsong Su
:
A Multi-Task Multi-Stage Transitional Training Framework for Neural Chat Translation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 7970-7985 (2023) - [c101]Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang:
Consistency Regularization Training for Compositional Generalization. ACL (1) 2023: 1294-1308 - [c100]Zhen Yang, Fandong Meng, Yuanmeng Yan, Jie Zhou:
Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement. ACL (Findings) 2023: 2012-2025 - [c99]Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias. ACL (Findings) 2023: 2495-2517 - [c98]Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou:
Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization. ACL (1) 2023: 2934-2951 - [c97]Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang, Jie Zhou:
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension. ACL (Findings) 2023: 4956-4968 - [c96]Jiali Zeng, Yufan Jiang, Yongjing Yin, Yi Jing, Fandong Meng, Binghuai Lin, Yunbo Cao, Jie Zhou:
Soft Language Clustering for Multilingual Model Pre-training. ACL (1) 2023: 7021-7035 - [c95]Chulun Zhou, Yunlong Liang, Fandong Meng, Jinan Xu, Jinsong Su, Jie Zhou:
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training. ACL (Findings) 2023: 11747-11762 - [c94]Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Xiao Zhou, Fandong Meng, Jie Zhou:
Personality Understanding of Fictional Characters during Book Reading. ACL (1) 2023: 14784-14802 - [c93]Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou:
Towards Unifying Multi-Lingual and Cross-Lingual Summarization. ACL (1) 2023: 15127-15143 - [c92]Jiaan Wang, Fandong Meng, Yunlong Liang, Tingyi Zhang, Jiarong Xu, Zhixu Li, Jie Zhou:
Understanding Translationese in Cross-Lingual Summarization. EMNLP (Findings) 2023: 3837-3849 - [c91]Liang Zhang, Chulun Zhou, Fandong Meng, Jinsong Su, Yidong Chen, Jie Zhou:
HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction. EMNLP 2023: 6213-6223 - [c90]Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Jie Zhou, Yue Zhang:
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information. EMNLP (Findings) 2023: 7563-7571 - [c89]Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning. EMNLP 2023: 9840-9855 - [c88]Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou:
D²TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization. EMNLP (Findings) 2023: 14910-14922 - [c87]Yifan Dong
, Suhang Wu
, Fandong Meng
, Jie Zhou
, Xiaoli Wang
, Jianxin Lin
, Jinsong Su
:
Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering. ACM Multimedia 2023: 3897-3907 - [c86]Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense. NeurIPS 2023 - [i120]Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning. CoRR abs/2301.10394 (2023) - [i119]Chulun Zhou, Yunlong Liang, Fandong Meng, Jie Zhou, Jinan Xu, Hongji Wang, Min Zhang, Jinsong Su:
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation. CoRR abs/2301.11749 (2023) - [i118]Jiaan Wang, Yunlong Liang, Fandong Meng, Zhixu Li, Jianfeng Qu, Jie Zhou:
Cross-Lingual Summarization via ChatGPT. CoRR abs/2302.14229 (2023) - [i117]Jiaan Wang, Yunlong Liang, Fandong Meng, Haoxiang Shi, Zhixu Li, Jinan Xu, Jianfeng Qu, Jie Zhou:
Is ChatGPT a Good NLG Evaluator? A Preliminary Study. CoRR abs/2303.04048 (2023) - [i116]Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou:
Unified Model Learning for Various Neural Machine Translation. CoRR abs/2305.02777 (2023) - [i115]Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou:
BranchNorm: Robustly Scaling Extremely Deep Transformers. CoRR abs/2305.02790 (2023) - [i114]Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias. CoRR abs/2305.04547 (2023) - [i113]Yun Luo, Zhen Yang, Xuefeng Bai, Fandong Meng, Jie Zhou, Yue Zhang:
Investigating Forgetting in Pre-Trained Representations Through Continual Learning. CoRR abs/2305.05968 (2023) - [i112]Mingliang Zhang, Zhen Cao, Juntao Liu, Liqiang Niu, Fandong Meng, Jie Zhou:
WeLayout: WeChat Layout Analysis System for the ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents. CoRR abs/2305.06553 (2023) - [i111]Chulun Zhou, Yunlong Liang, Fandong Meng, Jinan Xu, Jinsong Su, Jie Zhou:
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training. CoRR abs/2305.07927 (2023) - [i110]Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou:
Towards Unifying Multi-Lingual and Cross-Lingual Summarization. CoRR abs/2305.09220 (2023) - [i109]Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Xiao Zhou, Fandong Meng, Jie Zhou:
Personality Understanding of Fictional Characters during Book Reading. CoRR abs/2305.10156 (2023) - [i108]Yun Luo, Xiaotian Lin, Zhen Yang, Fandong Meng, Jie Zhou, Yue Zhang:
Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion. CoRR abs/2305.12270 (2023) - [i107]Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou:
D2TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization. CoRR abs/2305.12767 (2023) - [i106]Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning. CoRR abs/2305.14160 (2023) - [i105]Jiali Zeng, Yufan Jiang, Yongjing Yin, Yi Jing, Fandong Meng, Binghuai Lin, Yunbo Cao, Jie Zhou:
Soft Language Clustering for Multilingual Model Pre-training. CoRR abs/2306.07610 (2023) - [i104]Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou:
TIM: Teaching Large Language Models to Translate with Comparison. CoRR abs/2307.04408 (2023) - [i103]Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun:
Towards Codable Text Watermarking for Large Language Models. CoRR abs/2307.15992 (2023) - [i102]Xianfeng Zeng, Yijin Liu, Fandong Meng, Jie Zhou:
Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation. CoRR abs/2308.03131 (2023) - [i101]Yun Luo, Zhen Yang, Fandong Meng, Yafu Li, Jie Zhou, Yue Zhang:
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning. CoRR abs/2308.08747 (2023) - [i100]Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou:
Instruction Position Matters in Sequence Generation with Large Language Models. CoRR abs/2308.12097 (2023) - [i99]Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Improving Translation Faithfulness of Large Language Models via Augmenting Instructions. CoRR abs/2308.12674 (2023) - [i98]Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang:
Large Language Models Are Not Robust Multiple Choice Selectors. CoRR abs/2309.03882 (2023) - [i97]Yifan Dong, Suhang Wu, Fandong Meng, Jie Zhou, Xiaoli Wang, Jianxin Lin, Jinsong Su:
Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering. CoRR abs/2309.04734 (2023) - [i96]Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Jie Zhou, Yue Zhang:
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information. CoRR abs/2310.05073 (2023) - [i95]Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Fang Guo, Qinglin Qi, Jie Zhou, Yue Zhang:
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners. CoRR abs/2310.05502 (2023) - [i94]Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Plot Retrieval as an Assessment of Abstract Semantic Association. CoRR abs/2311.01666 (2023) - [i93]Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou:
Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding. CoRR abs/2311.02851 (2023) - [i92]Zhen Yang, Yingxue Zhang, Fandong Meng, Jie Zhou:
TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models. CoRR abs/2311.04589 (2023) - [i91]Yi Liu, Lianzhe Huang, Shicheng Li, Sishuo Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge. CoRR abs/2311.08147 (2023) - [i90]Kunting Li, Yong Hu, Shaolei Wang, Hanhan Ma, Liang He, Fandong Meng, Jie Zhou:
Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling Correction. CoRR abs/2311.08219 (2023) - 2022
- [j9]Yunlong Liang
, Fandong Meng
, Ying Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
:
Emotional conversation generation with heterogeneous graph neural network. Artif. Intell. 308: 103714 (2022) - [j8]Ying Zhang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
MKGN: A Multi-Dimensional Knowledge Enhanced Graph Network for Multi-Hop Question and Answering. IEICE Trans. Inf. Syst. 105-D(4): 807-819 (2022) - [j7]Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou:
A Survey on Cross-Lingual Summarization. Trans. Assoc. Comput. Linguistics 10: 1304-1323 (2022) - [j6]Hui Jiang
, Linfeng Song
, Yubin Ge, Fandong Meng, Junfeng Yao
, Jinsong Su
:
An AST Structure Enhanced Decoder for Code Generation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 468-476 (2022) - [c85]Yunlong Liang, Fandong Meng, Chulun Zhou
, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou:
A Variational Hierarchical Model for Neural Cross-Lingual Summarization. ACL (1) 2022: 2088-2099 - [c84]Songming Zhang, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jian Liu, Jie Zhou:
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. ACL (1) 2022: 2377-2389 - [c83]Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
MSCTD: A Multimodal Sentiment Chat Translation Dataset. ACL (1) 2022: 2601-2613 - [c82]Chulun Zhou
, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang, Jinsong Su:
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation. ACL (1) 2022: 2878-2889 - [c81]Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
Scheduled Multi-task Learning for Neural Chat Translation. ACL (1) 2022: 4375-4388 - [c80]Yulin Xu, Zhen Yang, Fandong Meng, Jie Zhou:
EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation. ACL (1) 2022: 8141-8153 - [c79]Chenxu Yang, Zheng Lin, Jiangnan Li, Fandong Meng, Weiping Wang, Lanrui Wang, Jie Zhou:
TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation. COLING 2022: 253-265 - [c78]Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang:
Categorizing Semantic Representations for Neural Machine Translation. COLING 2022: 5227-5239 - [c77]Duzhen Zhang, Zhen Yang, Fandong Meng, Xiuyi Chen
, Jie Zhou:
TSAM: A Two-Stream Attention Model for Causal Emotion Entailment. COLING 2022: 6762-6772 - [c76]Qingyi Si, Fandong Meng, Mingyu Zheng, Zheng Lin, Yuanxin Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA. EMNLP (Findings) 2022: 3698-3712 - [c75]Siyu Lai, Zhen Yang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment. EMNLP 2022: 3715-3725 - [c74]Lanrui Wang, Jiangnan Li, Zheng Lin, Fandong Meng, Chenxu Yang, Weiping Wang, Jie Zhou:
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection. EMNLP (Findings) 2022: 4634-4645 - [c73]Zhen Yang, Fandong Meng, Yingxue Zhang, Ernan Li, Jie Zhou:
WeTS: A Benchmark for Translation Suggestion. EMNLP 2022: 5278-5290 - [c72]Hui Jiang, Ziyao Lu, Fandong Meng, Chulun Zhou, Jie Zhou, Degen Huang, Jinsong Su:
Towards Robust k-Nearest-Neighbor Machine Translation. EMNLP 2022: 5468-5477 - [c71]Qingyi Si, Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning. EMNLP (Findings) 2022: 6650-6662 - [c70]Jiaan Wang, Fandong Meng, Ziyao Lu, Duo Zheng, Zhixu Li, Jianfeng Qu, Jie Zhou:
ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization. EMNLP 2022: 7716-7729 - [c69]Jianhao Yan, Chenming Wu, Fandong Meng, Jie Zhou:
Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space. EMNLP 2022: 12067-12085 - [c68]Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge. IJCAI 2022: 4209-4215 - [c67]Duo Zheng, Fandong Meng, Qingyi Si, Hairun Fan, Zipeng Xu, Jie Zhou, Fangxiang Feng, Xiaojie Wang:
Visual Dialog for Spotting the Differences between Pairs of Similar Images. ACM Multimedia 2022: 5698-5709 - [c66]Siyu Lai, Zhen Yang, Fandong Meng, Xue Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation. NAACL-HLT 2022: 4256-4266 - [c65]Yuanxin Liu, Fandong Meng, Zheng Lin
, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training. NAACL-HLT 2022: 5840-5857 - [c64]Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models. NeurIPS 2022 - [c63]Zhen Yang, Fandong Meng, Yingxue Zhang, Ernan Li, Jie Zhou:
Findings of the WMT 2022 Shared Task on Translation Suggestion. WMT 2022: 821-829 - [c62]Ernan Li, Fandong Meng, Jie Zhou:
Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task. WMT 2022: 920-924 - [c61]Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
BJTU-WeChat's Systems for the WMT22 Chat Translation Task. WMT 2022: 955-961 - [i89]Jiaan Wang, Fandong Meng, Ziyao Lu, Duo Zheng, Zhixu Li, Jianfeng Qu, Jie Zhou:
ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization. CoRR abs/2202.05599 (2022) - [i88]Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
MSCTD: A Multimodal Sentiment Chat Translation Dataset. CoRR abs/2202.13645 (2022) - [i87]Chulun Zhou, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang, Jinsong Su:
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation. CoRR abs/2202.13663 (2022) - [i86]Duzhen Zhang, Zhen Yang, Fandong Meng, Xiuyi Chen, Jie Zhou:
TSAM: A Two-Stream Attention Model for Causal Emotion Entailment. CoRR abs/2203.00819 (2022) - [i85]Yulin Xu, Zhen Yang, Fandong Meng, Jie Zhou:
EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation. CoRR abs/2203.02180 (2022) - [i84]Songming Zhang, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jian Liu, Jie Zhou:
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. CoRR abs/2203.02951 (2022) - [i83]Leyang Cui, Fandong Meng, Yijin Liu, Jie Zhou, Yue Zhang:
Towards Robust Online Dialogue Response Generation. CoRR abs/2203.03168 (2022) - [i82]Yunlong Liang, Fandong Meng, Chulun Zhou, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou:
A Variational Hierarchical Model for Neural Cross-Lingual Summarization. CoRR abs/2203.03820 (2022) - [i81]Duo Zheng, Fandong Meng, Qingyi Si, Hairun Fan, Zipeng Xu, Jie Zhou, Fangxiang Feng, Xiaojie Wang:
Spot the Difference: A Cooperative Object-Referring Game in Non-Perfectly Co-Observable Scene. CoRR abs/2203.08362 (2022) - [i80]Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou:
A Survey on Cross-Lingual Summarization. CoRR abs/2203.12515 (2022) - [i79]Siyu Lai, Zhen Yang, Fandong Meng, Xue Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation. CoRR abs/2204.08689 (2022) - [i78]Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training. CoRR abs/2204.11218 (2022) - [i77]Jiangnan Li, Fandong Meng, Zheng Lin
, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge. CoRR abs/2205.00759 (2022) - [i76]Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
Scheduled Multi-task Learning for Neural Chat Translation. CoRR abs/2205.03766 (2022) - [i75]Jianhao Yan, Fandong Meng, Jie Zhou:
Probing Causes of Hallucinations in Neural Machine Translations. CoRR abs/2206.12529 (2022) - [i74]Zhen Yang, Fandong Meng, Yuanmeng Yan, Jie Zhou:
Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement. CoRR abs/2209.05695 (2022) - [i73]Siyu Lai, Zhen Yang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment. CoRR abs/2210.04141 (2022) - [i72]Qingyi Si, Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning. CoRR abs/2210.04563 (2022) - [i71]Qingyi Si, Fandong Meng, Mingyu Zheng, Zheng Lin, Yuanxin Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA. CoRR abs/2210.04692 (2022) - [i70]Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models. CoRR abs/2210.05211 (2022) - [i69]Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang:
Categorizing Semantic Representations for Neural Machine Translation. CoRR abs/2210.06709 (2022) - [i68]Hui Jiang, Ziyao Lu, Fandong Meng, Chulun Zhou, Jie Zhou, Degen Huang, Jinsong Su:
Towards Robust k-Nearest-Neighbor Machine Translation. CoRR abs/2210.08808 (2022) - [i67]Lanrui Wang, Jiangnan Li, Zheng Lin, Fandong Meng, Chenxu Yang, Weiping Wang, Jie Zhou:
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection. CoRR abs/2210.11715 (2022) - [i66]Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang, Jie Zhou:
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension. CoRR abs/2210.14456 (2022) - [i65]Yong Hu, Fandong Meng, Jie Zhou:
CSCD-IME: Correcting Spelling Errors Generated by Pinyin IME. CoRR abs/2211.08788 (2022) - [i64]Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
BJTU-WeChat's Systems for the WMT22 Chat Translation Task. CoRR abs/2211.15009 (2022) - [i63]Ernan Li, Fandong Meng, Jie Zhou:
Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task. CoRR abs/2211.15022 (2022) - [i62]Zhen Yang, Fandong Meng, Yingxue Zhang, Ernan Li, Jie Zhou:
Findings of the WMT 2022 Shared Task on Translation Suggestion. CoRR abs/2211.16717 (2022) - [i61]Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang:
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding. CoRR abs/2212.04205 (2022) - [i60]Jiaan Wang, Fandong Meng, Tingyi Zhang, Yunlong Liang, Jiarong Xu, Zhixu Li, Jie Zhou:
Understanding Translationese in Cross-Lingual Summarization. CoRR abs/2212.07220 (2022) - [i59]Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou:
Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization. CoRR abs/2212.07672 (2022) - 2021
- [j5]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou:
Sequence-Level Training for Non-Autoregressive Neural Machine Translation. Comput. Linguistics 47(4): 891-925 (2021) - [j4]Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou:
MS-Ranker: Accumulating evidence from potentially correct candidates via reinforcement learning for answer selection. Neurocomputing 449: 270-279 (2021) - [j3]Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
A dependency syntactic knowledge augmented interactive architecture for end-to-end aspect-based sentiment analysis. Neurocomputing 454: 291-302 (2021) - [j2]Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song:
Simulated annealing for optimization of graphs and sequences. Neurocomputing 465: 310-324 (2021) - [c60]Yunlong Liang, Fandong Meng, Ying Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation. AAAI 2021: 13343-13352 - [c59]Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu:
Faster Depth-Adaptive Transformers. AAAI 2021: 13424-13432 - [c58]Feilong Chen, Xiuyi Chen
, Fandong Meng, Peng Li, Jie Zhou:
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog. ACL/IJCNLP (Findings) 2021: 230-243 - [c57]Feilong Chen, Fandong Meng, Xiuyi Chen
, Peng Li, Jie Zhou:
Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation. ACL/IJCNLP (Findings) 2021: 436-446 - [c56]Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu, Jie Zhou:
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. ACL/IJCNLP (2) 2021: 511-516 - [c55]Xiuyi Chen
, Feilong Chen, Fandong Meng, Peng Li, Jie Zhou:
Unsupervised Knowledge Selection for Dialogue Generation. ACL/IJCNLP (Findings) 2021: 1230-1244 - [c54]Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Target-oriented Fine-tuning for Zero-Resource Named Entity Recognition. ACL/IJCNLP (Findings) 2021: 1603-1615 - [c53]Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Confidence-Aware Scheduled Sampling for Neural Machine Translation. ACL/IJCNLP (Findings) 2021: 2327-2337 - [c52]Yuanxin Liu, Fandong Meng, Zheng Lin
, Weiping Wang, Jie Zhou:
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation. ACL/IJCNLP (1) 2021: 2928-2941 - [c51]Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou:
Prevent the Language Model from being Overconfident in Neural Machine Translation. ACL/IJCNLP (1) 2021: 3456-3468 - [c50]Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou:
GTM: A Generative Triple-wise Model for Conversational Question Generation. ACL/IJCNLP (1) 2021: 3495-3506 - [c49]Hui Jiang, Chulun Zhou
, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu, Jinsong Su:
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation. ACL/IJCNLP (1) 2021: 5076-5085 - [c48]Yunlong Liang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Modeling Bilingual Conversational Characteristics for Neural Chat Translation. ACL/IJCNLP (1) 2021: 5711-5724 - [c47]Fusheng Wang, Jianhao Yan, Fandong Meng, Jie Zhou:
Selective Knowledge Distillation for Neural Machine Translation. ACL/IJCNLP (1) 2021: 6456-6466 - [c46]Zipeng Xu, Fandong Meng, Xiaojie Wang, Duo Zheng, Chenxu Lv, Jie Zhou:
Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue. BMVC 2021: 161 - [c45]Yunlong Liang, Chulun Zhou
, Fandong Meng, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou:
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation. EMNLP (1) 2021: 67-79 - [c44]Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis. EMNLP (Findings) 2021: 1768-1780 - [c43]Duo Zheng, Zipeng Xu, Fandong Meng, Xiaojie Wang, Jiaan Wang
, Jie Zhou:
Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser. EMNLP (Findings) 2021: 1839-1851 - [c42]Shaopeng Lai, Ante Wang, Fandong Meng, Jie Zhou, Yubin Ge, Jiali Zeng, Junfeng Yao, Degen Huang, Jinsong Su:
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings. EMNLP (1) 2021: 2407-2417 - [c41]Mingliang Zhang, Fandong Meng, Yunhai Tong, Jie Zhou:
Competence-based Curriculum Learning for Multilingual Machine Translation. EMNLP (Findings) 2021: 2481-2493 - [c40]Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation. EMNLP (1) 2021: 3285-3296 - [c39]Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou:
Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition. NAACL-HLT 2021: 1592-1599 - [c38]Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou:
WeChat Neural Machine Translation Systems for WMT21. WMT@EMNLP 2021: 243-254 - [i58]Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou:
Prevent the Language Model from being Overconfident in Neural Machine Translation. CoRR abs/2105.11098 (2021) - [i57]Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu, Jie Zhou:
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. CoRR abs/2105.12523 (2021) - [i56]Fusheng Wang, Jianhao Yan, Fandong Meng, Jie Zhou:
Selective Knowledge Distillation for Neural Machine Translation. CoRR abs/2105.12967 (2021) - [i55]Hui Jiang, Chulun Zhou, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu, Jinsong Su:
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation. CoRR abs/2106.00261 (2021) - [i54]Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou:
GTM: A Generative Triple-Wise Model for Conversational Question Generation. CoRR abs/2106.03635 (2021) - [i53]Yuanxin Liu, Fandong Meng, Zheng Lin, Weiping Wang, Jie Zhou:
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation. CoRR abs/2106.05691 (2021) - [i52]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou:
Sequence-Level Training for Non-Autoregressive Neural Machine Translation. CoRR abs/2106.08122 (2021) - [i51]Jianhao Yan, Chenming Wu, Fandong Meng, Jie Zhou:
Rethinking the Evaluation of Neural Machine Translation. CoRR abs/2106.15217 (2021) - [i50]Zipeng Xu, Fandong Meng, Xiaojie Wang, Duo Zheng, Chenxu Lv, Jie Zhou:
Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue. CoRR abs/2107.05250 (2021) - [i49]Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Confidence-Aware Scheduled Sampling for Neural Machine Translation. CoRR abs/2107.10427 (2021) - [i48]Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition. CoRR abs/2107.10523 (2021) - [i47]Yunlong Liang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Modeling Bilingual Conversational Characteristics for Neural Chat Translation. CoRR abs/2107.11164 (2021) - [i46]Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou:
WeChat Neural Machine Translation Systems for WMT21. CoRR abs/2108.02401 (2021) - [i45]Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation. CoRR abs/2108.12963 (2021) - [i44]Yunlong Liang, Chulun Zhou, Fandong Meng, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou:
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation. CoRR abs/2109.00668 (2021) - [i43]Duo Zheng, Zipeng Xu, Fandong Meng, Xiaojie Wang, Jiaan Wang, Jie Zhou:
Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser. CoRR abs/2109.02297 (2021) - [i42]Mingliang Zhang, Fandong Meng, Yunhai Tong, Jie Zhou:
Competence-based Curriculum Learning for Multilingual Machine Translation. CoRR abs/2109.04002 (2021) - [i41]Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li, Jie Zhou:
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog. CoRR abs/2109.08475 (2021) - [i40]Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li, Jie Zhou:
Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation. CoRR abs/2109.08478 (2021) - [i39]Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song:
Simulated annealing for optimization of graphs and sequences. CoRR abs/2110.01384 (2021) - [i38]Zhen Yang, Yingxue Zhang, Ernan Li, Fandong Meng, Jie Zhou:
WeTS: A Benchmark for Translation Suggestion. CoRR abs/2110.05151 (2021) - [i37]Shaopeng Lai, Ante Wang, Fandong Meng, Jie Zhou, Yubin Ge, Jiali Zeng, Junfeng Yao, Degen Huang, Jinsong Su:
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings. CoRR abs/2110.06446 (2021) - 2020
- [c37]Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou:
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. AAAI 2020: 198-205 - [c36]Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou:
Multi-Zone Unit for Recurrent Neural Networks. AAAI 2020: 5150-5157 - [c35]Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou:
DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog. AAAI 2020: 7504-7511 - [c34]Yongjing Yin, Fandong Meng, Jinsong Su, Yubin Ge, Linfeng Song, Jie Zhou, Jiebo Luo:
Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions. AAAI 2020: 9482-9489 - [c33]Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song:
Unsupervised Paraphrasing by Simulated Annealing. ACL 2020: 302-312 - [c32]Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou
, Zhengyuan Yang, Jie Zhou, Jiebo Luo:
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation. ACL 2020: 3025-3035 - [c31]Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Cheng Niu, Jie Zhou:
A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking. ACL 2020: 6322-6333 - [c30]Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu:
Token-level Adaptive Training for Neural Machine Translation. EMNLP (1) 2020: 1035-1046 - [c29]Jianhao Yan, Fandong Meng, Jie Zhou:
Multi-Unit Transformers for Neural Machine Translation. EMNLP (1) 2020: 1047-1059 - [c28]Lin Qiao, Jianhao Yan, Fandong Meng, Zhendong Yang, Jie Zhou:
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph. EMNLP (Findings) 2020: 3336-3344 - [c27]Xiuyi Chen
, Fandong Meng, Peng Li, Feilong Chen, Shuang Xu, Bo Xu, Jie Zhou:
Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation. EMNLP (1) 2020: 3426-3437 - [c26]Huan Lin, Fandong Meng, Jinsong Su, Yongjing Yin, Zhengyuan Yang, Yubin Ge, Jie Zhou, Jiebo Luo
:
Dynamic Context-guided Capsule Network for Multimodal Machine Translation. ACM Multimedia 2020: 1320-1329 - [c25]Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou:
WeChat Neural Machine Translation Systems for WMT20. WMT@EMNLP 2020: 239-247 - [i36]Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Depth-Adaptive Graph Recurrent Network for Text Classification. CoRR abs/2003.00166 (2020) - [i35]Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
An Iterative Knowledge Transfer Network with Routing for Aspect-based Sentiment Analysis. CoRR abs/2004.01935 (2020) - [i34]Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis. CoRR abs/2004.01951 (2020) - [i33]Zeyang Lei, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Yujiu Yang, Cheng Niu, Jie Zhou:
Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization. CoRR abs/2004.12429 (2020) - [i32]Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu:
Explicitly Modeling Adaptive Depths for Transformer. CoRR abs/2004.13542 (2020) - [i31]Jianhao Yan, Fandong Meng, Jie Zhou:
Dual Past and Future for Neural Machine Translation. CoRR abs/2007.07728 (2020) - [i30]Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou, Zhengyuan Yang, Jie Zhou, Jiebo Luo:
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation. CoRR abs/2007.08742 (2020) - [i29]Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis. CoRR abs/2008.05179 (2020) - [i28]Huan Lin, Fandong Meng, Jinsong Su, Yongjing Yin, Zhengyuan Yang, Yubin Ge, Jie Zhou, Jiebo Luo:
Dynamic Context-guided Capsule Network for Multimodal Machine Translation. CoRR abs/2009.02016 (2020) - [i27]Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou:
WeChat Neural Machine Translation Systems for WMT20. CoRR abs/2010.00247 (2020) - [i26]Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu:
Token-level Adaptive Training for Neural Machine Translation. CoRR abs/2010.04380 (2020) - [i25]Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou:
MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection. CoRR abs/2010.04970 (2020) - [i24]Lin Qiao, Jianhao Yan, Fandong Meng, Zhendong Yang, Jie Zhou:
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph. CoRR abs/2010.05511 (2020) - [i23]Jianhao Yan, Fandong Meng, Jie Zhou:
Multi-Unit Transformers for Neural Machine Translation. CoRR abs/2010.10743 (2020) - [i22]Yunlong Liang, Fandong Meng, Ying Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation. CoRR abs/2012.04882 (2020)
2010 – 2019
- 2019
- [c24]Fandong Meng, Jinchao Zhang:
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation. AAAI 2019: 224-231 - [c23]Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou:
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations. ACL (1) 2019: 12-21 - [c22]Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling. ACL (1) 2019: 2431-2441 - [c21]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou:
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. ACL (1) 2019: 3013-3024 - [c20]Wen Zhang, Yang Feng, Fandong Meng, Di You
, Qun Liu:
Bridging the Gap between Training and Inference for Neural Machine Translation. ACL (1) 2019: 4334-4343 - [c19]Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu:
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding. EMNLP/IJCNLP (1) 2019: 1051-1060 - [c18]Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou:
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation. EMNLP/IJCNLP (1) 2019: 1527-1537 - [c17]Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis. EMNLP/IJCNLP (1) 2019: 5568-5579 - [c16]Yingxue Zhang, Ping Jian, Ruiying Geng, Yuansheng Song, Fandong Meng:
Ranking Like Human: Global-View Matching via Reinforcement Learning for Answer Selection. IALP 2019: 456-461 - [i21]Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling. CoRR abs/1906.02437 (2019) - [i20]Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu:
Bridging the Gap between Training and Inference for Neural Machine Translation. CoRR abs/1906.02448 (2019) - [i19]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou:
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. CoRR abs/1906.09444 (2019) - [i18]Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou:
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations. CoRR abs/1907.08854 (2019) - [i17]Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis. CoRR abs/1909.00324 (2019) - [i16]Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou:
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation. CoRR abs/1909.00564 (2019) - [i15]Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song:
Unsupervised Paraphrasing by Simulated Annealing. CoRR abs/1909.03588 (2019) - [i14]Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu:
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding. CoRR abs/1909.06937 (2019) - [i13]Yingxue Zhang, Ping Jian, Fandong Meng, Ruiying Geng, Wei Cheng, Jie Zhou:
Semantic Graph Convolutional Network for Implicit Discourse Relation Classification. CoRR abs/1910.09183 (2019) - [i12]Yong Shan, Yang Feng, Jinchao Zhang, Fandong Meng, Wen Zhang:
Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation. CoRR abs/1911.01597 (2019) - [i11]Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou:
Multi-Zone Unit for Recurrent Neural Networks. CoRR abs/1911.07184 (2019) - [i10]Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou:
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. CoRR abs/1911.09320 (2019) - [i9]Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou:
DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog. CoRR abs/1912.08360 (2019) - 2018
- [c15]Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, Yang Liu:
Towards Robust Neural Machine Translation. ACL (1) 2018: 1756-1766 - [c14]Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, Tong Zhang:
Modeling Localness for Self-Attention Networks. EMNLP 2018: 4449-4458 - [c13]Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang:
Neural Machine Translation with Key-Value Memory-Augmented Attention. IJCAI 2018: 2574-2580 - [i8]Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, Yang Liu:
Towards Robust Neural Machine Translation. CoRR abs/1805.06130 (2018) - [i7]Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang:
Neural Machine Translation with Key-Value Memory-Augmented Attention. CoRR abs/1806.11249 (2018) - [i6]Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, Tong Zhang:
Modeling Localness for Self-Attention Networks. CoRR abs/1810.10182 (2018) - [i5]Fandong Meng, Jinchao Zhang:
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation. CoRR abs/1812.07807 (2018) - 2016
- [j1]Deyi Xiong
, Fandong Meng, Qun Liu:
Topic-based term translation models for statistical machine translation. Artif. Intell. 232: 54-75 (2016) - [c12]Jinchao Zhang, Fandong Meng, Mingxuan Wang, Daqi Zheng, Wenbin Jiang, Qun Liu:
Is Local Window Essential for Neural Network Based Chinese Word Segmentation? CCL 2016: 450-457 - [c11]Fandong Meng, Zhengdong Lu, Hang Li, Qun Liu:
Interactive Attention for Neural Machine Translation. COLING 2016: 2174-2185 - [c10]Qingsong Ma, Fandong Meng, Daqi Zheng, Mingxuan Wang, Yvette Graham, Wenbin Jiang, Qun Liu:
MaxSD: A Neural Machine Translation Evaluation Metric Optimized by Maximizing Similarity Distance. NLPCC/ICCPOL 2016: 153-161 - [i4]Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, Philip L. H. Yu:
Neural Machine Translation with External Phrase Memory. CoRR abs/1606.01792 (2016) - [i3]Fandong Meng, Zhengdong Lu, Hang Li, Qun Liu:
Interactive Attention for Neural Machine Translation. CoRR abs/1610.05011 (2016) - 2015
- [c9]Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu:
Encoding Source Language with Convolutional Neural Network for Machine Translation. ACL (1) 2015: 20-30 - [i2]Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu:
Encoding Source Language with Convolutional Neural Network for Machine Translation. CoRR abs/1503.01838 (2015) - [i1]Fandong Meng, Zhengdong Lu, Zhaopeng Tu, Hang Li, Qun Liu:
Neural Transformation Machine: A New Architecture for Sequence-to-Sequence Learning. CoRR abs/1506.06442 (2015) - 2014
- [c8]Hongshen Chen, Jun Xie, Fandong Meng, Wenbin Jiang, Qun Liu:
A Dependency Edge-based Transfer Model for Statistical Machine Translation. COLING 2014: 1103-1113 - [c7]Fandong Meng, Deyi Xiong
, Wenbin Jiang, Qun Liu:
Modeling Term Translation for Document-informed Machine Translation. EMNLP 2014: 546-556 - 2013
- [c6]Fandong Meng, Jun Xie, Linfeng Song, Yajuan Lü, Qun Liu:
Translation with Source Constituency and Dependency Trees. EMNLP 2013: 1066-1076 - 2012
- [c5]Fandong Meng, Wenbin Jiang, Hao Xiong, Qun Liu:
Discriminative Boosting from Dictionary and Raw Text - A Novel Approach to Build A Chinese Word Segmenter. COLING (Posters) 2012: 819-828 - [c4]Wenbin Jiang, Fandong Meng, Qun Liu, Yajuan Lü:
Iterative Annotation Transformation with Predict-Self Reestimation for Chinese Word Segmentation. EMNLP-CoNLL 2012: 412-420 - [c3]Fandong Meng, Hao Xiong, Qun Liu:
ICT: A Translation based Method for Cross-lingual Textual Entailment. SemEval@NAACL-HLT 2012: 715-720 - 2011
- [c2]Hao Xiong, Linfeng Song, Fandong Meng, Yang Liu, Qun Liu, Yajuan Lv:
ETS: An Error Tolerable System for Coreference Resolution. CoNLL Shared Task 2011: 76-80 - [c1]Hao Xiong, Linfeng Song, Fandong Meng, Yajuan Lü, Qun Liu:
The ICT's Patent MT System Description for NTCIR-9. NTCIR 2011
Coauthor Index
aka: Jinan Xu
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