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Fandong Meng

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

152

Venues

11

Active years

2011–2026

Best venue rank

A*

Where they publish

Papers

152 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIGRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning.Chenglong Wang, Yongyu Mu, Hang Zhou, Yifu Huo, Ziming Zhu, Jiali Zeng, Murun Yang, Bei Li, Xiaoyang Hao, Chunliang Zhang, Fandong Meng, Jingbo Zhu, Tong Xiao
2026ACLSED-SFT: Selectively Encouraging Diversity in Supervised Fine-Tuning.Yijie Chen, Yijin Liu, Fandong Meng
2026ACLFigure It Out: Improve the Frontier of Reasoning with Executable Visual States.Meiqi Chen, Fandong Meng, Jie Zhou
2026ACLKnowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning.Xinyan Guan, Jiali Zeng, Chunlei Xin, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Fandong Meng
2026ACLAPB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention.Yuxiang Huang, Mingye Li, Xu Han, Chaojun Xiao, Weilin Zhao, Ao Sun, Ziqi Yuan, Hao Zhou, Fandong Meng, Zhiyuan Liu
2026ACLReFreeKV: Towards Threshold-Free KV Cache Compression.Xuanfan Ni, Liyan Xu, Chenyang Lyu, Longyue Wang, Mo Yu, Lemao Liu, Fandong Meng, Jie Zhou, Piji Li
2026ACLInvestigating Cross-Modal Skill Injection: Scenarios, Methods, and Hyperparameters.Zhiyu Xu, Lean Wang, Yuanxin Liu, Lei Li, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2026ACLArrowGEV: Grounding Events in Video via Learning the Arrow of Time.Fangxu Yu, Ziyao Lu, Liqiang Niu, Fandong Meng, Jie Zhou
2026ACLJoint Optimization of Training Data and Policy in RLHF.Zhuohao Yu, Jiali Zeng, Weizheng Gu, Mengyuan Sun, Yidong Wang, Fandong Meng, Jie Zhou, Shikun Zhang, Wei Ye
2026ACLThink Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning.Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Kaiyu Huang, Yufeng Chen, Jinan Xu, Jie Zhou
2025ACLEnhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical Mapping.Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2025ACLAVG-LLaVA: An Efficient Large Multimodal Model with Adaptive Visual Granularity.Zhibin Lan, Liqiang Niu, Fandong Meng, Wenbo Li, Jie Zhou, Jinsong Su
2025ACLTHOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation.Yunlong Liang, Fandong Meng, Jie Zhou
2025ACLPunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension.Kun Ouyang, Yuanxin Liu, Shicheng Li, Yi Liu, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2025ACLLongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information.Bowen Ping, Jiali Zeng, Fandong Meng, Shuo Wang, Jie Zhou, Shanghang Zhang
2025ACLA Law Reasoning Benchmark for LLM with Tree-Organized Structures including Factum Probandum, Evidence and Experiences.Jiaxin Shen, Jinan Xu, Huiqi Hu, Luyi Lin, Guoyang Ma, Fei Zheng, Fandong Meng, Jie Zhou, Wenjuan Han
2025ACLDRT: Deep Reasoning Translation via Long Chain-of-Thought.Jiaan Wang, Fandong Meng, Yunlong Liang, Jie Zhou
2025ACLAn Empirical Study of Many-to-Many Summarization with Large Language Models.Jiaan Wang, Fandong Meng, Zengkui Sun, Yunlong Liang, Yuxuan Cao, Jiarong Xu, Haoxiang Shi, Jie Zhou
2025ACLLess, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts.Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2025ACLAdvancing SMoE for Continuous Domain Adaptation of MLLMs: Adaptive Router and Domain-Specific Loss.Liang Zhang, Ziyao Lu, Fandong Meng, Hui Li, Jie Zhou, Jinsong Su
2025ACLA Self-Denoising Model for Robust Few-Shot Relation Extraction.Liang Zhang, Yang Zhang, Ziyao Lu, Fandong Meng, Jie Zhou, Jinsong Su
2025COLINGMultilingual Knowledge Editing with Language-Agnostic Factual Neurons.Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2025EMNLPLLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning.Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Jinsong Su
2025EMNLPConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning.Ziqing Qiao, Yongheng Deng, Jiali Zeng, Dong Wang, Lai Wei, Guanbo Wang, Fandong Meng, Jie Zhou, Ju Ren, Yaoxue Zhang
2025EMNLPRetrieval-Augmented Machine Translation with Unstructured Knowledge.Jiaan Wang, Fandong Meng, Yingxue Zhang, Jie Zhou
2025EMNLPDense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings.Liyan Xu, Zhenlin Su, Mo Yu, Jiangnan Li, Fandong Meng, Jie Zhou
2025EMNLPCM-Align: Consistency-based Multilingual Alignment for Large Language Models.Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2025EMNLPTIU-Bench: A Benchmark for Evaluating Large Multimodal Models on Text-rich Image Understanding.Kun Zhang, Liqiang Niu, Zhen Cao, Fandong Meng, Jie Zhou
2025ICLRMiniPLM: Knowledge Distillation for Pre-training Language Models.Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
2025ICLRBeyond Next Token Prediction: Patch-Level Training for Large Language Models.Chenze Shao, Fandong Meng, Jie Zhou
2025ICLRDelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory.Yutong Wang, Jiali Zeng, Xuebo Liu, Derek F. Wong, Fandong Meng, Jie Zhou, Min Zhang
2025ICMLContinuous Visual Autoregressive Generation via Score Maximization.Chenze Shao, Fandong Meng, Jie Zhou
2025KDDPersonalized Language Model Learning on Text Data Without User Identifiers.Yucheng Ding, Yangwenjian Tan, Xiangyu Liu, Chaoyue Niu, Fandong Meng, Jie Zhou, Ning Liu, Fan Wu, Guihai Chen
2024AAAIGenerative Multi-Modal Knowledge Retrieval with Large Language Models.Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou
2024AAAITeaching Large Language Models to Translate with Comparison.Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou
2024AAAITree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models.Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou
2024ACLComments as Natural Logic Pivots: Improve Code Generation via Comment Perspective.Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2024ACLCSCD-NS: a Chinese Spelling Check Dataset for Native Speakers.Yong Hu, Fandong Meng, Jie Zhou
2024ACLTranslatotron-V(ison): An End-to-End Model for In-Image Machine Translation.Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Min Zhang, Jinsong Su
2024ACLContinual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation.Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou
2024ACLBranchNorm: Robustly Scaling Extremely Deep Transformers.Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou
2024ACLInstruction Position Matters in Sequence Generation with Large Language Models.Yijin Liu, Xianfeng Zeng, Chenze Shao, Fandong Meng, Jie Zhou
2024ACLTrust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever.Xinwei Long, Jiali Zeng, Fandong Meng, Jie Zhou, Bowen Zhou
2024ACLUnderstanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective.Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou
2024ACLLCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation.Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2024ACLOutdated Issue Aware Decoding for Factual Knowledge Editing.Zengkui Sun, Yijin Liu, Jiaan Wang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2024ACLExploring Conditional Variational Mechanism to Pinyin Input Method for Addressing One-to-Many Mappings in Low-Resource Scenarios.Bin Sun, Jianfeng Li, Hao Zhou, Fandong Meng, Kan Li, Jie Zhou
2024ACLCross-Lingual Knowledge Editing in Large Language Models.Jiaan Wang, Yunlong Liang, Zengkui Sun, Yuxuan Cao, Jiarong Xu, Fandong Meng
2024ACLTasTe: Teaching Large Language Models to Translate through Self-Reflection.Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang
2024ACLPlot Retrieval as an Assessment of Abstract Semantic Association.Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2024ACLUnsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation.Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2024ACLTowards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation.Xianfeng Zeng, Yijin Liu, Fandong Meng, Jie Zhou
2024ACLImproving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding.Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou
2024COLINGUMTIT: Unifying Recognition, Translation, and Generation for Multimodal Text Image Translation.Liqiang Niu, Fandong Meng, Jie Zhou
2024COLINGDC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding.Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang
2024EMNLPEnhancing Byzantine-Resistant Aggregations with Client Embedding.Zhiyuan Zhang, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2024EMNLPOn the token distance modeling ability of higher RoPE attention dimension.Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou
2024EMNLPC-LLM: Learn to Check Chinese Spelling Errors Character by Character.Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou
2024EMNLPLexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation.Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang
2024EMNLPMulti-Level Cross-Modal Alignment for Speech Relation Extraction.Liang Zhang, Zhen Yang, Biao Fu, Ziyao Lu, Liangying Shao, Shiyu Liu, Fandong Meng, Jie Zhou, Xiaoli Wang, Jinsong Su
2024ICLRTowards Codable Watermarking for Injecting Multi-Bits Information to LLMs.Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun
2024ICLRLarge Language Models Are Not Robust Multiple Choice Selectors.Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
2024ICMLLanguage Generation with Strictly Proper Scoring Rules.Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou
2024ICMLOn Prompt-Driven Safeguarding for Large Language Models.Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng
2024NAACLOn Large Language Models' Hallucination with Regard to Known Facts.Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou
2024NAACLXAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners.Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Fang Guo, Qinglin Qi, Jie Zhou, Yue Zhang
2023ACLSummary-Oriented Vision Modeling for Multimodal Abstractive Summarization.Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou
2023ACLQuestion-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension.Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang, Jie Zhou
2023ACLTowards Unifying Multi-Lingual and Cross-Lingual Summarization.Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou
2023ACLRethinking the Word-level Quality Estimation for Machine Translation from Human Judgement.Zhen Yang, Fandong Meng, Yuanmeng Yan, Jie Zhou
2023ACLConsistency Regularization Training for Compositional Generalization.Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang
2023ACLPersonality Understanding of Fictional Characters during Book Reading.Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Xiao Zhou, Fandong Meng, Jie Zhou
2023ACLSoft Language Clustering for Multilingual Model Pre-training.Jiali Zeng, Yufan Jiang, Yongjing Yin, Yi Jing, Fandong Meng, Binghuai Lin, Yunbo Cao, Jie Zhou
2023ACLDiffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias.Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023ACLRC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training.Chulun Zhou, Yunlong Liang, Fandong Meng, Jinan Xu, Jinsong Su, Jie Zhou
2023EMNLPD²TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization.Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou
2023EMNLPEnhancing Argument Structure Extraction with Efficient Leverage of Contextual Information.Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Jie Zhou, Yue Zhang
2023EMNLPLabel Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023EMNLPUnderstanding Translationese in Cross-Lingual Summarization.Jiaan Wang, Fandong Meng, Yunlong Liang, Tingyi Zhang, Jiarong Xu, Zhixu Li, Jie Zhou
2023EMNLPHyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction.Liang Zhang, Chulun Zhou, Fandong Meng, Jinsong Su, Yidong Chen, Jie Zhou
2022ACLScheduled Multi-task Learning for Neural Chat Translation.Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2022ACLMSCTD: A Multimodal Sentiment Chat Translation Dataset.Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2022ACLA Variational Hierarchical Model for Neural Cross-Lingual Summarization.Yunlong Liang, Fandong Meng, Chulun Zhou, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou
2022ACLEAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation.Yulin Xu, Zhen Yang, Fandong Meng, Jie Zhou
2022ACLConditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation.Songming Zhang, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jian Liu, Jie Zhou
2022ACLConfidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation.Chulun Zhou, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang, Jinsong Su
2022COLINGTAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation.Chenxu Yang, Zheng Lin, Jiangnan Li, Fandong Meng, Weiping Wang, Lanrui Wang, Jie Zhou
2022COLINGCategorizing Semantic Representations for Neural Machine Translation.Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang
2022COLINGTSAM: A Two-Stream Attention Model for Causal Emotion Entailment.Duzhen Zhang, Zhen Yang, Fandong Meng, Xiuyi Chen, Jie Zhou
2022EMNLPTowards Robust k-Nearest-Neighbor Machine Translation.Hui Jiang, Ziyao Lu, Fandong Meng, Chulun Zhou, Jie Zhou, Degen Huang, Jinsong Su
2022EMNLPCross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment.Siyu Lai, Zhen Yang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2022EMNLPTowards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning.Qingyi Si, Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
2022EMNLPLanguage Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA.Qingyi Si, Fandong Meng, Mingyu Zheng, Zheng Lin, Yuanxin Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
2022EMNLPEmpathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection.Lanrui Wang, Jiangnan Li, Zheng Lin, Fandong Meng, Chenxu Yang, Weiping Wang, Jie Zhou
2022EMNLPClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization.Jiaan Wang, Fandong Meng, Ziyao Lu, Duo Zheng, Zhixu Li, Jianfeng Qu, Jie Zhou
2022EMNLPWeTS: A Benchmark for Translation Suggestion.Zhen Yang, Fandong Meng, Yingxue Zhang, Ernan Li, Jie Zhou
2022EMNLPDigging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space.Jianhao Yan, Chenming Wu, Fandong Meng, Jie Zhou
2022IJCAINeutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge.Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
2022NAACLGenerating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation.Siyu Lai, Zhen Yang, Fandong Meng, Xue Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2022NAACLLearning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training.Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
2021AAAIInfusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation.Yunlong Liang, Fandong Meng, Ying Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2021AAAIFaster Depth-Adaptive Transformers.Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu
2021ACLSelective Knowledge Distillation for Neural Machine Translation.Fusheng Wang, Jianhao Yan, Fandong Meng, Jie Zhou
2021ACLGoG: Relation-aware Graph-over-Graph Network for Visual Dialog.Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li, Jie Zhou
2021ACLUnsupervised Knowledge Selection for Dialogue Generation.Xiuyi Chen, Feilong Chen, Fandong Meng, Peng Li, Jie Zhou
2021ACLMultimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation.Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li, Jie Zhou
2021ACLExploring Dynamic Selection of Branch Expansion Orders for Code Generation.Hui Jiang, Chulun Zhou, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu, Jinsong Su
2021ACLModeling Bilingual Conversational Characteristics for Neural Chat Translation.Yunlong Liang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2021ACLMarginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation.Yuanxin Liu, Fandong Meng, Zheng Lin, Weiping Wang, Jie Zhou
2021ACLConfidence-Aware Scheduled Sampling for Neural Machine Translation.Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2021ACLPrevent the Language Model from being Overconfident in Neural Machine Translation.Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou
2021ACLGTM: A Generative Triple-wise Model for Conversational Question Generation.Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou
2021ACLBilingual Mutual Information Based Adaptive Training for Neural Machine Translation.Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu, Jie Zhou
2021ACLTarget-oriented Fine-tuning for Zero-Resource Named Entity Recognition.Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2021BMVCModeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue.Zipeng Xu, Fandong Meng, Xiaojie Wang, Duo Zheng, Chenxu Lv, Jie Zhou
2021EMNLPImproving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings.Shaopeng Lai, Ante Wang, Fandong Meng, Jie Zhou, Yubin Ge, Jiali Zeng, Junfeng Yao, Degen Huang, Jinsong Su
2021EMNLPAn Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis.Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2021EMNLPTowards Making the Most of Dialogue Characteristics for Neural Chat Translation.Yunlong Liang, Chulun Zhou, Fandong Meng, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou
2021EMNLPScheduled Sampling Based on Decoding Steps for Neural Machine Translation.Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2021EMNLPCompetence-based Curriculum Learning for Multilingual Machine Translation.Mingliang Zhang, Fandong Meng, Yunhai Tong, Jie Zhou
2021EMNLPEnhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser.Duo Zheng, Zipeng Xu, Fandong Meng, Xiaojie Wang, Jiaan Wang, Jie Zhou
2021NAACLContext Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition.Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou
2020AAAIDMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog.Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou
2020AAAIMulti-Zone Unit for Recurrent Neural Networks.Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou
2020AAAIMinimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation.Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou
2020AAAIEnhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions.Yongjing Yin, Fandong Meng, Jinsong Su, Yubin Ge, Linfeng Song, Jie Zhou, Jiebo Luo
2020ACLUnsupervised Paraphrasing by Simulated Annealing.Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song
2020ACLA Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking.Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Cheng Niu, Jie Zhou
2020ACLA Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation.Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou, Zhengyuan Yang, Jie Zhou, Jiebo Luo
2020EMNLPBridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation.Xiuyi Chen, Fandong Meng, Peng Li, Feilong Chen, Shuang Xu, Bo Xu, Jie Zhou
2020EMNLPToken-level Adaptive Training for Neural Machine Translation.Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu
2020EMNLPA Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph.Lin Qiao, Jianhao Yan, Fandong Meng, Zhendong Yang, Jie Zhou
2020EMNLPMulti-Unit Transformers for Neural Machine Translation.Jianhao Yan, Fandong Meng, Jie Zhou
2019AAAIDTMT: A Novel Deep Transition Architecture for Neural Machine Translation.Fandong Meng, Jinchao Zhang
2019ACLIncremental Transformer with Deliberation Decoder for Document Grounded Conversations.Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou
2019ACLGCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling.Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou
2019ACLRetrieving Sequential Information for Non-Autoregressive Neural Machine Translation.Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou
2019ACLBridging the Gap between Training and Inference for Neural Machine Translation.Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu
2019EMNLPA Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis.Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou
2019EMNLPCM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding.Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu
2019EMNLPEnhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation.Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou
2018ACLTowards Robust Neural Machine Translation.Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, Yang Liu
2018EMNLPModeling Localness for Self-Attention Networks.Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, Tong Zhang
2018IJCAINeural Machine Translation with Key-Value Memory-Augmented Attention.Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang
2016COLINGInteractive Attention for Neural Machine Translation.Fandong Meng, Zhengdong Lu, Hang Li, Qun Liu
2015ACLEncoding Source Language with Convolutional Neural Network for Machine Translation.Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu
2014COLINGA Dependency Edge-based Transfer Model for Statistical Machine Translation.Hongshen Chen, Jun Xie, Fandong Meng, Wenbin Jiang, Qun Liu
2014EMNLPModeling Term Translation for Document-informed Machine Translation.Fandong Meng, Deyi Xiong, Wenbin Jiang, Qun Liu
2013EMNLPTranslation with Source Constituency and Dependency Trees.Fandong Meng, Jun Xie, Linfeng Song, Yajuan L, Qun Liu
2012COLINGDiscriminative Boosting from Dictionary and Raw Text - A Novel Approach to Build A Chinese Word Segmenter.Fandong Meng, Wenbin Jiang, Hao Xiong, Qun Liu
2012EMNLPIterative Annotation Transformation with Predict-Self Reestimation for Chinese Word Segmentation.Wenbin Jiang, Fandong Meng, Qun Liu, Yajuan L
2011CoNLLETS: An Error Tolerable System for Coreference Resolution.Hao Xiong, Linfeng Song, Fandong Meng, Yang Liu, Qun Liu, Yajuan Lv