Fandong Meng

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 266

Top Venues

Publications

Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
Multilingual Knowledge Editing with Language-Agnostic Factual Neurons. CoRR (2024)
Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation. CoRR (2024)
Yong Hu, Fandong Meng, Jie Zhou
CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers. ACL (1) (2024)
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)
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)
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 (2024)
Yijin Liu, Fandong Meng, Jie Zhou
Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy. CoRR (2024)
Yijin Liu, Xianfeng Zeng, Chenze Shao, Fandong Meng, Jie Zhou
Instruction Position Matters in Sequence Generation with Large Language Models. ACL (Findings) (2024)
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Outdated Issue Aware Decoding for Factual Knowledge Editing.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)
Liqiang Niu, Fandong Meng, Jie Zhou
UMTIT: Unifying Recognition, Translation, and Generation for Multimodal Text Image Translation. LREC/COLING (2024)
Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective. CoRR (2024)
Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou
C-LLM: Learn to Check Chinese Spelling Errors Character by Character. CoRR (2024)
Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. CoRR (2024)
Chenze Shao, Fandong Meng, Jie Zhou
Patch-Level Training for Large Language Models. CoRR (2024)
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. NAACL-HLT (2024)
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)
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)
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)
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)
Jiaan Wang, Yunlong Liang, Zengkui Sun, Yuxuan Cao, Jiarong Xu, Fandong Meng
Cross-Lingual Knowledge Editing in Large Language Models. ACL (1) (2024)
Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang
TasTe: Teaching Large Language Models to Translate through Self-Reflection. CoRR (2024)
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)
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)
Xianfeng Zeng, Yijin Liu, Fandong Meng, Jie Zhou
Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation. ACL (Findings) (2024)
Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. ACL (1) (2024)
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 (2024)
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. NAACL-HLT (2024)
Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou
Generative Multi-Modal Knowledge Retrieval with Large Language Models. CoRR (2024)
Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou
BranchNorm: Robustly Scaling Extremely Deep Transformers. ACL (Findings) (2024)
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)
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 (2024)
Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang
LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation. CoRR (2024)
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)
Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding. LREC/COLING (2024)
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 (2024)
Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou
Teaching Large Language Models to Translate with Comparison. AAAI (2024)
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 (2024)
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)
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
Large Language Models Are Not Robust Multiple Choice Selectors. ICLR (2024)
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 (2024)
Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou
Language Generation with Strictly Proper Scoring Rules. CoRR (2024)
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 (2024)
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 (2024)
Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou
Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding. ACL (Findings) (2024)
Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
Improving Translation Faithfulness of Large Language Models via Augmenting Instructions. CoRR (2023)
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)
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 (2023)
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 (2023)
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 (2023)
Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang
Consistency Regularization Training for Compositional Generalization. ACL (1) (2023)
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 (2023)
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)
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)
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 (2023)
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)
Yun Luo, Zhen Yang, Xuefeng Bai, Fandong Meng, Jie Zhou, Yue Zhang
Investigating Forgetting in Pre-Trained Representations Through Continual Learning. CoRR (2023)
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) (2023)
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 (2023)
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 (2023)
Chulun Zhou, Yunlong Liang, Fandong Meng, Jinan Xu, Jinsong Su, Jie Zhou
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training. CoRR (2023)
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 (2023)
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)
Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou
Instruction Position Matters in Sequence Generation with Large Language Models. CoRR (2023)
Chulun Zhou, Yunlong Liang, Fandong Meng, Jinan Xu, Jinsong Su, Jie Zhou
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training. ACL (Findings) (2023)
Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou
BranchNorm: Robustly Scaling Extremely Deep Transformers. CoRR (2023)
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 (2023)
Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou
TIM: Teaching Large Language Models to Translate with Comparison. CoRR (2023)
Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou
Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding. CoRR (2023)
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 (2023)
Zhen Yang, Yingxue Zhang, Fandong Meng, Jie Zhou
TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models. CoRR (2023)
Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou
Towards Unifying Multi-Lingual and Cross-Lingual Summarization. CoRR (2023)
Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou
Unified Model Learning for Various Neural Machine Translation. CoRR (2023)
Jiaan Wang, Yunlong Liang, Fandong Meng, Zhixu Li, Jianfeng Qu, Jie Zhou
Cross-Lingual Summarization via ChatGPT. CoRR (2023)
Xianfeng Zeng, Yijin Liu, Fandong Meng, Jie Zhou
Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation. CoRR (2023)
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)
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
Large Language Models Are Not Robust Multiple Choice Selectors. CoRR (2023)
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 (2023)
Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou
TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization. CoRR (2023)
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)
Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Zhou Xiao, Fandong Meng, Jie Zhou
Personality Understanding of Fictional Characters during Book Reading. CoRR (2023)
Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Jie Zhou, Yue Zhang
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information. CoRR (2023)
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 (2023)
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)
Wenkai Yang, Deli Chen, Hao Zhao, Fandong Meng, Jie Zhou, Xu Sun
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning. CoRR (2023)
Zhen Yang, Fandong Meng, Yuanmeng Yan, Jie Zhou
Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement. ACL (Findings) (2023)
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 (2023)
Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Zhou Xiao, Fandong Meng, Jie Zhou
Personality Understanding of Fictional Characters during Book Reading. ACL (1) (2023)
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 (2023)
Jiaan Wang, Fandong Meng, Yunlong Liang, Tingyi Zhang, Jiarong Xu, Zhixu Li, Jie Zhou
Understanding Translationese in Cross-Lingual Summarization. EMNLP (Findings) (2023)
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 (2023)
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)
Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou
Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization. ACL (1) (2023)
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)
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)
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 (2022)
Siyu Lai, Zhen Yang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment. EMNLP (2022)
Yong Hu, Fandong Meng, Jie Zhou
CSCD-IME: Correcting Spelling Errors Generated by Pinyin IME. CoRR (2022)
Zhen Yang, Fandong Meng, Yingxue Zhang, Ernan Li, Jie Zhou
Findings of the WMT 2022 Shared Task on Translation Suggestion. WMT (2022)
Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou
A Survey on Cross-Lingual Summarization. CoRR (2022)
Jiaan Wang, Fandong Meng, Ziyao Lu, Duo Zheng, Zhixu Li, Jianfeng Qu, Jie Zhou
ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fandong Meng