Fandong Meng's Homepage

Personal Information

He is a principal researcher and team leader at WeChat, Tencent Inc, China.

He got his Ph.D. degree at Institute of Computing Technology, Chinese Academy of Sciences.

His research interests include machine translation, natural language processing and large language modeling.

E-mail: fandongmeng [at] tencent [dot] com

Publications

Preprints

Meiqi Chen, Fandong Meng, Yingxue Zhang, Yan Zhang and Jie Zhou. CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and Retrieval-Augmented Translation with Large Language Models. [arxiv]
Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou and Minlie Huang. MiniPLM: Knowledge Distillation for Pre-Training Language Models. [arxiv]
Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou and Jie Zhou. On the token distance modeling ability of higher RoPE attention dimension. [arxiv]
Chao Hu, Yitian Chai, Hao Zhou, Fandong Meng, Jie Zhou and Xiaodong Gu. How Effectively Do Code Language Models Understand Poor-Readability Code?. [paper]
Yutong Wang, Jiali Zeng, Xuebo Liu, Derek F. Wong, Fandong Meng, Jie Zhou and Min Zhang. DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory. [arxiv]
Zhibin Lan, Liqiang Niu, Fandong Meng, Wenbo Li, Jie Zhou and Jinsong Su. AVG-LLaVA: A Large Multimodal Model with Adaptive Visual Granularity. [arxiv]
Wenchao Chen, Liqiang Niu, Ziyao Lu, Fandong Meng and Jie Zhou. MaskMamba: A Hybrid Mamba-Transformer Model for Masked Image Generation. [arxiv]
Chenze Shao, Fandong Meng and Jie Zhou. Patch-Level Training for Large Language Models. [arxiv]
Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu and Jie Zhou. Multilingual Knowledge Editing with Language-Agnostic Factual Neurons. [arxiv]
Yijin Liu, Fandong Meng and Jie Zhou. Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy. [arxiv]
Zhen Yang, Yingxue Zhang, Fandong Meng and Jie Zhou. TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models. [arxiv]
Yun Luo, Zhen Yang, Fandong Meng, Yafu Li, Jie Zhou and Yue Zhang. An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning. [arxiv]
Yi Liu, Lianzhe Huang, Shicheng Li, Sishuo Chen, Hao Zhou, Fandong Meng, Jie Zhou and Xu Sun. RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge. [arxiv]
Kunting Li, Yong Hu, Shaolei Wang, Hanhan Ma, Liang He, Fandong Meng, and Jie Zhou. Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling Correction. [arxiv]
Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu and Jie Zhou. Improving Translation Faithfulness of Large Language Models via Augmenting Instructions. [arxiv]
Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen and Jie Zhou. Unified Model Learning for Various Neural Machine Translation. [arxiv]
Leyang Cui, Fandong Meng, Yijin Liu, Jie Zhou and Yue Zhang. Towards Robust Online Dialogue Response Generation. [arxiv]

2025

Yucheng Ding, Yangwenjian Tan, Xiangyu Liu, Chaoyue Niu, Fandong Meng, Jie Zhou, Ning Liu, Fan Wu and Guihai Chen. Personalized Language Model Learning on Text Data Without User Identifiers. To appear in Proceedings of KDD 2025.

2024

Kunting Li, Yong Hu, Liang He, Fandong Meng and Jie Zhou. C-LLM: Learn to Check Chinese Spelling Errors Character by Character. In Proceedings of EMNLP 2024. [arxiv]
Liang Zhang, Zhen Yang, Biao Fu, Ziyao Lu, Liangying Shao, Shiyu Liu, Fandong Meng, Jie Zhou, Xiaoli Wang and Jinsong Su. Multi-Level Cross-Modal Alignment for Speech Relation Extraction. In Proceedings of EMNLP 2024.
Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou and Jie Zhou. On the token distance modeling ability of higher RoPE attention dimension. In Findings of EMNLP 2024.
Zhiyuan Zhang, Hao Zhou, Fandong Meng, Jie Zhou and Xu Sun. Enhancing Byzantine-Resistant Aggregations with Client Embedding. In Findings of EMNLP 2024.
Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng and Yue Zhang. LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation. In Findings of EMNLP 2024.
Chenze Shao, Fandong Meng, Yijin Liu and Jie Zhou. Language Generation with Strictly Proper Scoring Rules. In Proceedings of ICML 2024. [arxiv]
Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang and Nanyun Peng. On Prompt-Driven Safeguarding for Large Language Models. In Proceedings of ICML 2024.
Chenze Shao, Fandong Meng, Jiali Zeng and Jie Zhou. Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. In Proceedings of ACL 2024. [arxiv]
Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen and Jie Zhou. Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation. In Proceedings of ACL 2024.
Yong Hu, Fandong Meng and Jie Zhou. CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers. In Proceedings of ACL 2024.
Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou and Min Zhang. TasTe: Teaching Large Language Models to Translate through Self-Reflection. In Proceedings of ACL 2024.
Jiaan Wang, Yunlong Liang, Zengkui Sun, Yuxuan Cao, Jiarong Xu and Fandong Meng. Cross-Lingual Knowledge Editing in Large Language Models. In Proceedings of ACL 2024.
Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng and Jie Zhou. Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. In Proceedings of ACL 2024.
Bin Sun, Jianfeng Li, Hao Zhou, Fandong Meng, Kan Li, Jie Zhou. Exploring Conditional Variational Mechanism to Pinyin Input Method for Addressing One-to-Many Mappings in Low-Resource Scenarios. In Proceedings of ACL 2024 (short).
Jiali Zeng, Fandong Meng, Yongjing Yin and Jie Zhou. Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding. In Findings of ACL 2024.
Xinwei Long, Jiali Zeng, Fandong Meng, Jie Zhou and Bowen Zhou. Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever. In Findings of ACL 2024.
Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Min Zhang and Jinsong Su. Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation. In Findings of ACL 2024. [arxiv]
Xianfeng Zeng, Yijin Liu, Fandong Meng and Jie Zhou. Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation. In Findings of ACL 2024.
Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou. BranchNorm: Robustly Scaling Extremely Deep Transformers. In Findings of ACL 2024.
Yijin Liu, Xianfeng Zeng, Chenze Shao, Fandong Meng, Jie Zhou. Instruction Position Matters in Sequence Generation with Large Language Models. In Findings of ACL 2024.
Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu and Jie Zhou. Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective. In Findings of ACL 2024.
Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen and Jie Zhou. LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation. In Findings of ACL 2024.
Zengkui Sun, Yijin Liu, Jiaan Wang, Fandong Meng, Jinan Xu, Yufeng Chen and Jie Zhou. Outdated Issue Aware Decoding for Factual Knowledge Editing. In Findings of ACL 2024.
Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Fang Guo, Qinglin Qi, Jie Zhou and Yue Zhang. XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners. In Proceedings of NAACL 2024. [arxiv]
Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou and Jie Zhou. On Large Language Models' Hallucination with Regard to Known Facts. In Proceedings of NAACL 2024. [arxiv]
Liqiang Niu, Fandong Meng and Jie Zhou. UMTIT: Unifying Recognition, Translation, and Generation for Multimodal Text Image Translation. In Proceedings of LREC-COLING 2024. [paper]
Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou and Yue Zhang. DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding. In Proceedings of LREC-COLING 2024. [paper]
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou and Minlie Huang. Large Language Models Are Not Robust Multiple Choice Selectors. In Proceedings of ICLR 2024. [arxiv]
Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou and Xu Sun. Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs. In Proceedings of ICLR 2024. [arxiv]
Jiali Zeng, Fandong Meng, Yongjing Yin and Jie Zhou. Teaching Large Language Models to Translate with Comparison. In Proceedings of AAAI 2024.
Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen and Jie Zhou. Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models. In Proceedings of AAAI 2024.
Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou and Jie Zhou. Generative Multi-Modal Knowledge Retrieval with Large Language Models. In Proceedings of AAAI 2024. [arxiv]

2023

Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou and Xu Sun. Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning. In Proceedings of EMNLP 2023. (EMNLP 2023 Best Long Paper Award) [paper] [arxiv] [code]
Liang Zhang, Chulun Zhou, Fandong Meng, Jinsong Su, Yidong Chen and Jie Zhou. HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction. In Proceedings of EMNLP 2023. [paper]
Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen and Jie Zhou. D2TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization. In Findings of EMNLP 2023. [arxiv]
Jiaan Wang, Fandong Meng, Yunlong Liang, Tingyi Zhang, Jiarong Xu, Zhixu Li and Jie Zhou. Understanding Translationese in Cross-Lingual Summarization. In Findings of EMNLP 2023. [arxiv]
Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Jie Zhou and Yue Zhang. Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information. In Findings of EMNLP 2023.
Jiaan Wang, Yunlong Liang, Fandong Meng, Zengkui Sun, Haoxiang Shi, Zhixu Li, Jinan Xu, Jianfeng Qu and Jie Zhou. Is ChatGPT a Good NLG Evaluator? A Preliminary Study. In Proceedings of The 4th New Frontiers in Summarization Workshop 2023. [paper] [arxiv]
Jiaan Wang, Yunlong Liang, Fandong Meng, Beiqi Zou, Zhixu Li, Jianfeng Qu and Jie Zhou. Zero-Shot Cross-Lingual Summarization via Large Language Models. In Proceedings of The 4th New Frontiers in Summarization Workshop 2023. [paper] [arxiv]
Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen and Jie Zhou. Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization. In Proceedings of ACL 2023. [arxiv]
Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu and Jie Zhou. Towards Unifying Multi-Lingual and Cross-Lingual Summarization. In Proceedings of ACL 2023. [arxiv]
Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou and Yue Zhang. Consistency Regularization Training for Compositional Generalization. In Proceedings of ACL 2023.
Jiali Zeng, Yufan Jiang, Yongjing Yin, Yi Jing, Fandong Meng, Binghuai Lin, Yunbo Cao and Jie Zhou. Soft Language Clustering for Multilingual Model Pre-training. In Proceedings of ACL 2023. [arxiv]
Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Zhou Xiao, Fandong Meng and Jie Zhou. Personality Understanding of Fictional Characters during Book Reading. In Proceedings of ACL 2023. [arxiv]
Zhen Yang, Fandong Meng, Yuanmeng Yan and Jie Zhou. Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement. In Findings of ACL 2023. [arxiv]
Chulun Zhou, Yunlong Liang, Fandong Meng, Jinan Xu, Jinsong Su and Jie Zhou. RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training. In Findings of ACL 2023. [arxiv]
Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang and Jie Zhou. Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension. In Findings of ACL 2023. [arxiv]
Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou and Xu Sun. Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models caused by Backdoor or Bias. In Findings of ACL 2023. [arxiv]
Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun. Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense. In Proceedings of NeurIPS 2023. [paper]
Yifan Dong, Suhang Wu, Fandong Meng, Jie Zhou, Xiaoli Wang, Jianxin Lin and Jinsong Su. Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering. In Proceedings of ACM MM 2023. [arxiv]
Yongjing Yin, Jiali Zeng, Jinsong Su, Chulun Zhou, Fandong Meng, Jie Zhou, Degen Huang and Jiebo Luo. Multi-modal Graph Contrastive Encoding for Neural Machine Translation. In Artificial Intelligence 2023.
Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou. Complex Question Enhanced Transfer Learning for Zero-shot Joint Information Extraction. In IEEE/ACM Transactions on Audio, Speech, and Language Processing 2023.
Mingliang Zhang, Zhen Cao, Juntao Liu, Liqiang Niu, Fandong Meng, and Jie Zhou. WeLayout: WeChat Layout Analysis System for the ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents. [arxiv]

2022

Chulun Zhou, Yunlong Liang, Fandong Meng, Jie Zhou, Jinan Xu, Hongji Wang, Min Zhang and Jinsong Su. A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation. To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). [arxiv]
Jiaan Wang, Fandong Meng, Ziyao Lu, Duo Zheng, Zhixu Li, Jianfeng Qu and Jie Zhou. ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization. To appear in Proceedings of EMNLP 2022. [arxiv]
Zhen Yang, Fandong Meng, Yingxue Zhang, Ernan Li and Jie Zhou. WeTS: A Benchmark for Translation Suggestion. To appear in Proceedings of EMNLP 2022.
Siyu Lai, Zhen Yang, Fandong Meng, Yufeng Chen, Jinan Xu and Jie Zhou. Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment. To appear in Proceedings of EMNLP 2022.
Hui Jiang, Ziyao Lu, Fandong Meng, Chulun Zhou, Jie Zhou, Degen Huang and Jinsong Su. Towards Robust k-Nearest-Neighbor Machine Translation. To appear in Proceedings of EMNLP 2022.
Jianhao Yan, Chenming Wu, Fandong Meng and Jie Zhou. Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space. To appear in Proceedings of EMNLP 2022. [arxiv]
Qingyi Si, Fandong Meng, Mingyu Zheng, Zheng Lin, Yuanxin Liu, Peng Fu, Yanan Cao, Weiping Wang and Jie Zhou. Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA. To appear in Findings of EMNLP 2022.
Qingyi Si, Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang and Jie Zhou. Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning. To appear in Findings of EMNLP 2022.
Lanrui Wang, Jiangnan Li, Zheng Lin, Fandong Meng, Chenxu Yang, Weiping Wang and Jie Zhou. Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection. To appear in Findings of EMNLP 2022.
Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang and Jie Zhou. A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models. To appear in Proceedings of NeurIPS 2022. [arxiv]
Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu and Jie Zhou. A Survey on Cross-Lingual Summarization. In TACL 2022. [arxiv]
Yunlong Liang, Fandong Meng, Ying Zhang, Yufeng Chen, Jinan Xu and Jie Zhou. Emotional Conversation Generation with Heterogeneous Graph Neural Network. In Artificial Intelligence 2022. [arxiv]
Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen and Jie Zhou. Scheduled Multi-task Learning for Neural Chat Translation. In Proceedings of ACL 2022. [arxiv]
Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen and Jie Zhou. MSCTD: A Multimodal Sentiment Chat Translation Dataset. In Proceedings of ACL 2022. [arxiv]
Yunlong Liang, Fandong Meng, Chulun Zhou, Jinan Xu,Yufeng Chen, Jinsong Su and Jie Zhou. A Variational Hierarchical Model for Neural Cross-Lingual Summarization. In Proceedings of ACL 2022. [arxiv]
Chulun Zhou, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang and Jinsong Su. Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation. In Proceedings of ACL 2022. [arxiv]
Songming Zhang, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jian Liu and Jie Zhou. Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. In Proceedings of ACL 2022. [arxiv]
Yulin Xu, Zhen Yang, Fandong Meng and Jie Zhou. EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation. In Proceedings of ACL 2022. [arxiv]
Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weipinng Wang and Jie Zhou. Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training. In Proceedings of NAACL 2022. [arxiv]
Siyu Lai, Zhen Yang, Fandong Meng, Xue Zhang, Yufeng Chen, Jinan Xu and Jie Zhou. Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation. In Proceedings of NAACL 2022. [arxiv]
Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou and Yue Zhang. Categorizing Semantic Representations for Neural Machine Translation. In Proceedings of COLING 2022. [paper]
Duzhen Zhang, Zhen Yang, Fandong Meng, Xiuyi Chen and Jie Zhou. TSAM: A Two-Stream Attention Model for Causal Emotion Entailment. In Proceedings of COLING 2022. [paper] [arxiv]
Chenxu Yang, Zheng Lin, Jiangnan Li, Fandong Meng, Weiping Wang, Lanrui Wang and Jie Zhou. TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation. In Proceedings of COLING 2022. [paper]
Duo Zheng, Fandong Meng, Qingyi Si, Hairun Fan, Zipeng Xu, Jie Zhou, Fangxiang Feng and Xiaojie Wang. Visual Dialog for Spotting the Differences between Pairs of Similar Images. In Proceedings of ACM MM 2022. [arxiv]
Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weipinng Wang and Jie Zhou. Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge. In Proceedings of IJCAI 2022. [arxiv]
Zhen Yang, Fandong Meng, Yingxue Zhang, Ernan Li and Jie Zhou. Findings of the WMT 2022 Shared Task on Translation Suggestion. In Proceedings of the Seventh Conference on Machine Translation (WMT 2022). [paper] [arxiv]
Ernan Li, Fandong Meng and Jie Zhou. Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task. In Proceedings of the Seventh Conference on Machine Translation (WMT 2022). [paper] [arxiv]
Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen and Jie Zhou. BJTU-WeChat’s Systems for the WMT22 Chat Translation Task. In Proceedings of the Seventh Conference on Machine Translation (WMT 2022). [paper] [arxiv]

2021

Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng and Jie Zhou. Sequence-Level Training for Non-Autoregressive Neural Machine Translation. In Computational Linguistics 2021. [arxiv]
Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou and Jie Zhou. Prevent the Language Model from being Overconfident in Neural Machine Translation. In Proceedings of ACL-IJCNLP 2021. [arxiv]
Yunlong Liang, Fandong Meng, Yufeng Chen, Jinan Xu and Jie Zhou. Modeling Bilingual Conversational Characteristics for Neural Chat Translation. In Proceedings of ACL-IJCNLP 2021. [arxiv]
Fusheng Wang, Jianhao Yan, Fandong Meng and Jie Zhou. Selective Knowledge Distillation for Neural Machine Translation. In Proceedings of ACL-IJCNLP 2021. [arxiv]
Yuanxin Liu, Fandong Meng, Zheng Lin, Weiping Wang and Jie Zhou. Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation. In Proceedings of ACL-IJCNLP 2021. [arxiv]
Lei Shen, Fangdong Meng, Jinchao Zhang, Yang Feng and Jie Zhou. GTM: A Generative Triple-wise Model for Conversational Question Generation. In Proceedings of ACL-IJCNLP 2021. [arxiv]
Hui Jiang, Chulun Zhou, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu and Jinsong Su. Exploring Dynamic Selection of Branch Expansion Orders for Code Generation. In Proceedings of ACL-IJCNLP 2021. [arxiv]
Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu and Jie Zhou. Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. In Proceedings of ACL-IJCNLP(short) 2021. [arxiv]
Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu and Jie Zhou. Confidence-Aware Scheduled Sampling for Neural Machine Translation. In Findings of ACL-IJCNLP 2021. [arxiv]
Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu and Jie Zhou. Target-oriented Fine-tuning for Zero-Resource Named Entity Recognition. In Findings of ACL-IJCNLP 2021. [arxiv]
Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li and Jie Zhou. Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation. In Findings of ACL-IJCNLP 2021. [paper] [arxiv]
Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li and Jie Zhou. GoG: Relation-aware Graph-over-Graph Network for Visual Dialog. In Findings of ACL-IJCNLP 2021. [paper] [arxiv]
Xiuyi Chen, Feilong Chen, Fandong Meng, Peng Li and Jie Zhou. Unsupervised Knowledge Selection for Dialogue Generation. In Findings of ACL-IJCNLP 2021. [paper]
Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu and Jie Zhou. Scheduled Sampling Based on Decoding Steps for Neural Machine Translation. In Proceedings of EMNLP 2021. [arxiv]
Yunlong Liang, Chulun Zhou, Fandong Meng, Jinan Xu, Yufeng Chen, Jinsong Su and Jie Zhou. Towards Making the Most of Dialogue Characteristics for Neural Chat Translation. In Proceedings of EMNLP 2021. [arxiv]
Shaopeng Lai, Ante Wang, Fandong Meng, Jie Zhou, Yubin Ge, Jiali Zeng, Junfeng Yao, Degen Huang and Jinsong Su. Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings. In Proceedings of EMNLP 2021. [arxiv]
Mingliang Zhang, Fandong Meng, Yunhai Tong and Jie Zhou. Competence-based Curriculum Learning for Multilingual Machine Translation. In Findings of EMNLP 2021. [arxiv]
Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu and Jie Zhou. An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis. In Findings of EMNLP 2021. [arxiv]
Duo Zheng, Zipeng Xu, Fandong Meng, Xiaojie Wang, Jiaan Wang and Jie Zhou. Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser. In Findings of EMNLP 2021. [arxiv]
Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou. WeChat Neural Machine Translation Systems for WMT21. In Proceedings of the Sixth Conference on Machine Translation (WMT21). [paper] [arxiv]
Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian and Jie Zhou. Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition. In Proceedings of NAACL (short) 2021. [paper]
Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen and Jinan Xu. Faster Depth-Adaptive Transformers. In Proceedings of AAAI 2021. [arxiv]
Yunlong Liang, Fandong Meng, Ying Zhang, Yufeng Chen, Jinan Xu and Jie Zhou. Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation. In Proceedings of AAAI 2021. [arxiv]
Zipeng Xu, Fandong Meng, Xiaojie Wang, Duo Zheng, Chenxu Lv and Jie Zhou. Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue. In Proceedings of BMVC 2021. [arxiv] [paper]

2020

Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou, Zhengyuan Yang, Jie Zhou and Jiebo Luo. A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation. In Proceedings of ACL 2020 , Seattle, USA, July. [paper]
Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou and Sen Song. Unsupervised Paraphrasing by Simulated Annealing. In Proceedings of ACL 2020 , Seattle, USA, July. [paper]
Jianhao Yan, Fandong Meng and Jie Zhou. Multi-Unit Transformers for Neural Machine Translation. In Proceedings of EMNLP 2020, November 16-20. [arxiv]
Xiuyi Chen, Fandong Meng, Peng Li, Feilong Chen, Shuang Xu, Bo Xu and Jie Zhou. Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation. In Proceedings of EMNLP 2020, November 16-20. [paper]
Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou and Dong Yu. Token-level Adaptive Training for Neural Machine Translation. In Proceedings of EMNLP 2020, November 16-20. [arxiv]
Lin Qiao, Jianhao Yan, Fandong Meng, Zhendong Yang and Jie Zhou. A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph. In Findings of EMNLP 2020, November 16-20. [arxiv]
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. In Proceedings of the Fifth Conference on Machine Translation (WMT20), November 19-20. [arxiv] (Our Chinese to English system achieved the highest case-sensitive BLEU score among all submissions.)
Fandong Meng, Jinchao Zhang, Yang Liu and Jie Zhou. Multi-Zone Unit for Recurrent Neural Networks. In Proceedings of AAAI 2020 , New York, USA, February 7-12. [arxiv]
Yongjing Yin, Fandong Meng, Jinsong Su, Yubin Ge, Linfeng Song, Jie Zhou and Jiebo Luo. Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions. In Proceedings of AAAI 2020 , New York, USA, February 7-12. [paper]
Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu and Jie Zhou. DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog. In Proceedings of AAAI 2020 , New York, USA, February 7-12. [arxiv]
Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng and Jie Zhou. Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. In Proceedings of AAAI 2020, New York, USA, February 7-12. [arxiv]
Huan Lin, Fandong Meng, Jinsong Su, Yongjing Yin, Zhengyuan Yang, Yubin Ge, Jie Zhou and Jiebo Luo. Dynamic Context-guided Capsule Network for Multimodal Machine Translation. In Proceedings of ACM MM 2020, October. [arxiv]

2019

Wen Zhang, Yang Feng, Fandong Meng, Di You and Qun Liu. Bridging the Gap between Training and Inference for Neural Machine Translation. In Proceedings of ACL 2019, Florence, Italy, July 28-August 2. (ACL 2019 Best Long Paper Award) [paper] [arxiv] [code]
Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen and Jie Zhou. GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling. In Proceedings of ACL 2019, Florence, Italy, July 28-August 2. [arxiv] [paper] [code]
Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li and Jie Zhou. Incremental Transformer with Deliberation Decoder for Document Grounded Conversations. In Proceedings of ACL 2019, Florence, Italy, July 28-August 2. [arxiv] [paper] [code]
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen and Jie Zhou. Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. In Proceedings of ACL 2019, Florence, Italy, July 28-August 2. [arxiv] [paper] [code]
Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen and Jinan Xu. CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding. In Proceedings of EMNLP 2019, Hong Kong, China, November 3–7. [paper] [arxiv] [code]
Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen and Jie Zhou. A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis. In Proceedings of EMNLP 2019, Hong Kong, China, November 3–7. [paper] [arxiv] [code]
Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng and Jie Zhou. Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level NMT. In Proceedings of EMNLP 2019 , Hong Kong, China, November 3–7. [paper] [arxiv]
Fandong Meng and Jinchao Zhang. DTMT: A Novel Deep Transition Architecture for Neural Machine Translation. In Proceedings of AAAI 2019, Hawaii, USA, January. [paper] [arxiv] [code]
Yingxue Zhang, Ping Jian, Ruiying Geng, Yuansheng Song and Fandong Meng. Ranking Like Human: Global-View Matching via Reinforcement Learning for Answer Selection. In Proceedings of IALP 2019, Shanghai, China, November. [paper]

2018

Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, and Di Wang. Neural Machine Translation with Key-Value Memory-Augmented Attention. In Proceedings of IJCAI 2018, Stockholm, Sweden, July. [paper]
Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, and Yang Liu. Towards Robust Neural Machine Translation. In Proceedings of ACL 2018, Melbourne, Australia, July. [paper]
Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao and Tong Zhang. Modeling Localness for Self-Attention Networks. In Proceedings of EMNLP 2018, Brussels, Belgium, October. [paper]

2011~2016

Fandong Meng, Zhengdong Lu, Hang Li, and Qun Liu. Interactive Attention for Neural Machine Translation. In Proceedings of COLING 2016, Japan, December. [paper] [arxiv]
Fandong Meng, Zhengdong Lu, Zhaopeng Tu, Hang Li, and Qun Liu. A Deep Memory-based Architecture for Sequence-to-Sequence Learning. In Proceedings of ICLR-Workshop 2016, Canada, May. [paper] [arxiv]
Deyi Xiong, Fandong Meng, and Qun Liu. Topic-based Term Translation Models for Statistical Machine Translation. In Artificial Intelligence, 232:54-75, March 1, 2016. [paper]
Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, Philip L. H. Yu. Neural Machine Translation with External Phrase Memory. In CoRR abs/1606.01792.(2016) [paper]
Jinchao Zhang, Fandong Meng, Mingxuan Wang, Daqi Zheng, Wenbin Jiang, Qun Liu. Is Local Window Essential for Neural Network Based Chinese Word Segmentation? In CCL 2016, 450-457. [paper]
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. In NLPCC/ICCPOL 2016, 153-161. [paper]
Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, and Qun Liu. Encoding Source Language with Convolutional Neural Network for Machine Translation. In Proceedings of ACL 2015, Beijing, China, July. [paper] [arxiv]
Fandong Meng, Deyi Xiong, Wenbin Jiang, and Qun Liu. Modeling Term Translation for Document-informed Machine Translation. In Proceedings of EMNLP 2014, Doha, Qatar, October. [paper]
Hongshen Chen, Jun Xie, Fandong Meng, Wenbin Jiang, and Qun Liu. A Dependency Edge-based Transfer Model for Statistical Machine Translation. In Proceedings of COLING 2014, Dublin, Ireland, August. [paper]
Fandong Meng, Jun Xie, Linfeng Song, Yajuan lv and Qun Liu. Translation with Source Constituency and Dependency Trees. In Proceedings of EMNLP 2013, Seattle, Washington, USA, October. [paper]
Fandong Meng, Wenbin Jiang, Hao Xiong and Qun Liu. Discriminative Boosting from Dictionary and Raw Text -- A Novel Approach to Build A Chinese Word Segmenter. In Proceedings of COLING 2012, IIT Bombay, Mumbai, India, December. [paper]
Fandong Meng, Jin'an Xu, Wenbin Jiang and Qun Liu. A Method of Merging Corpora in Different Annotation Standards: An Application on Statistics Chinese Lexical Analysis. In Journal of Chinese Information Processing 26(2):3-7. [paper]
Fandong Meng, Hao Xiong and Qun Liu. ICT: A Translation based Method for Cross-lingual Textual Entailment. In Proceedings of SemEval 2012, Canada. [paper]
Wenbin Jiang, Fandong Meng, Qun Liu and Yajuan Lv. Iterative Annotation Transformation with Predict-Self Reestimation for Chinese Word Segmentation. In Proceedings of EMNLP 2012, Jeju, Korea, July. [paper]
Hao Xiong, Linfeng Song, Fandong Meng, Yang Liu, Qun Liu and Yajuan Lv. ETS: An Error Tolerable System for Coreference Resolution. In Proceedings of CoNLL 2011, America. [paper]
Hao Xiong, Linfeng Song, Fandong Meng, Yajuan Lv and Qun Liu. The ICT's Patent MT System Description for NTCIR-9. In Proceedings of NTCIR9 2011, Tokyo, Japan. [paper]