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

News

13/03/2024: Two papers were accepted at NAACL 2024.

20/02/2024: Two papers were accepted at LREC-COLING 2024.

16/01/2024: Two papers were accepted at ICLR 2024.

09/12/2023: Three papers were accepted at AAAI 2024.

08/10/2023: Five papers were accepted at EMNLP 2023.

22/09/2023: One paper was accepted at NeurIPS 2023.

11/08/2023: One paper was accepted at TASLP 2023.

28/07/2023: One paper was accepted at Artificial Intelligence 2023.

26/07/2023: One paper was accepted at ACM MM 2023.

02/05/2023: Nine papers were accepted at ACL 2023.

04/04/2023: Champion of ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents.

Publications

Please go to [Full List] or [Google Scholar] to see all my publications.

Recent Preprints

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]
Jiali Zeng, Fandong Meng, Yongjing Yin and Jie Zhou. Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding. [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]
Yijin Liu, Xianfeng Zeng, Fandong Meng and Jie Zhou. Instruction Position Matters in Sequence Generation with Large Language Models. [arxiv]
Xianfeng Zeng, Yijin Liu, Fandong Meng and Jie Zhou. Towards Multiple References Era -- Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation. [arxiv]

Recent Publications

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.
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.
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 Text Watermarking for Large Language Models. 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]
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, 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]
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.
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]

Professional Services

Standing Reviewer: TACL (2021-)
Meta-Reviewer: AAAI 2022 (Senior PC Member)
PC Member & Reviewer: NeurIPS (2023), ACL (2014, 2017-2022), EMNLP (2018, 2020-2022), NAACL (2016, 2018, 2021), AAAI (2020, 2021), IJCAI (2019), COLING (2018)

Honours

Best Long Paper Awards of ACL 2019 and EMNLP 2023.
Champion of ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents.
Champion of WMT22 Chat Translation Task on English->German and German->English.
Champion of WMT22 Biomedical Translation Task on Chinese->English.
Champion of WMT21 news translation task on English->Chinese, English->Japanese, Japanese->English, and English->German (among constrained systems).
Champion of WMT20 news translation task on Chinese->English.
National Scholarship for Graduate Excellence of UCAS in 2015.
UCAS Outstanding Student Awards in 2013 and 2014.
Outstanding Winner (world 1/14) of COMAP's Mathematical Contest in Modeling (MCM/ICM) in 2010.
First Prize Winner of National Mathematic Contest In Modeling in 2009.