Fandong Meng

365 papers A* 43A 1B 6Journal 206Unranked 109
YearRankTypeTitle / Venue / Authors
2026 J jnl
ArrowGEV: Grounding Events in Video via Learning the Arrow of Time.
CoRR
Fangxu Yu, Ziyao Lu, Liqiang Niu, Fandong Meng, Jie Zhou
2026 J jnl
DeepTrans: Deep Reasoning Translation via Reinforcement Learning.
Trans. Assoc. Comput. Linguistics
Jiaan Wang, Fandong Meng, Jie Zhou
2026 A* conf
GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning.
AAAI
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
2026 J jnl
General learned delegation by clones.
CoRR
Darren Li, Meiqi Chen, Chenze Shao, Fandong Meng, Jie Zhou
2026 J jnl
No Global Plan in Chain-of-Thought: Uncover the Latent Planning Horizon of LLMs.
CoRR
Liyan Xu, Mo Yu, Fandong Meng, Jie Zhou
2026 J jnl
Offline Exploration-Aware Fine-Tuning for Long-Chain Mathematical Reasoning.
CoRR
Yongyu Mu, Jiali Zeng, Fandong Meng, Jingbo Zhu, Tong Xiao
2026 J jnl
Readability-Robust Code Summarization via Meta Curriculum Learning.
CoRR
Wenhao Zeng, Yitian Chai, Hao Zhou, Fandong Meng, Jie Zhou, Xiaodong Gu
2026 J jnl
SED-SFT: Selectively Encouraging Diversity in Supervised Fine-Tuning.
CoRR
Yijie Chen, Yijin Liu, Fandong Meng
2026 J jnl
Spava: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention.
CoRR
Yuxiang Huang, Mingye Li, Xu Han, Chaojun Xiao, Weilin Zhao, Ao Sun, Ziqi Yuan, Hao Zhou, Fandong Meng, Zhiyuan Liu
2026 J jnl
The Missing Half: Unveiling Training-time Implicit Safety Risks Beyond Deployment.
CoRR
Zhexin Zhang, Yida Lu, Junfeng Fang, Junxiao Yang, Shiyao Cui, Hao Zhou, Fandong Meng, Jie Zhou, Hongning Wang, Minlie Huang, Tat-Seng Chua
2026 J jnl
WeEdit: A Dataset, Benchmark and Glyph-Guided Framework for Text-centric Image Editing.
CoRR
Hui Zhang, Juntao Liu, Zongkai Liu, Liqiang Niu, Fandong Meng, Zuxuan Wu, Yu-Gang Jiang
2025 J jnl
A Dual-Space Framework for General Knowledge Distillation of Large Language Models.
CoRR
Xuejie Zhang, Songming Zhang, Yunlong Liang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2025 — conf
A Law Reasoning Benchmark for LLM with Tree-Organized Structures including Factum Probandum, Evidence and Experiences.
ACL (Findings)
Jiaxin Shen, Jinan Xu, Huiqi Hu, Luyi Lin, Guoyang Ma, Fei Zheng, Fandong Meng, Jie Zhou, Wenjuan Han
2025 J jnl
A Law Reasoning Benchmark for LLM with Tree-Organized Structures including Factum Probandum, Evidence and Experiences.
CoRR
Jiaxin Shen, Jinan Xu, Huiqi Hu, Luyi Lin, Fei Zheng, Guoyang Ma, Fandong Meng, Jie Zhou, Wenjuan Han
2025 — conf
A Self-Denoising Model for Robust Few-Shot Relation Extraction.
ACL (1)
Liang Zhang, Yang Zhang, Ziyao Lu, Fandong Meng, Jie Zhou, Jinsong Su
2025 — conf
AVG-LLaVA: An Efficient Large Multimodal Model with Adaptive Visual Granularity.
ACL (Findings)
Zhibin Lan, Liqiang Niu, Fandong Meng, Wenbo Li, Jie Zhou, Jinsong Su
2025 — conf
Advancing SMoE for Continuous Domain Adaptation of MLLMs: Adaptive Router and Domain-Specific Loss.
ACL (1)
Liang Zhang, Ziyao Lu, Fandong Meng, Hui Li, Jie Zhou, Jinsong Su
2025 — conf
An Empirical Study of Many-to-Many Summarization with Large Language Models.
ACL (1)
Jiaan Wang, Fandong Meng, Zengkui Sun, Yunlong Liang, Yuxuan Cao, Jiarong Xu, Haoxiang Shi, Jie Zhou
2025 J jnl
An Empirical Study of Many-to-Many Summarization with Large Language Models.
CoRR
Jiaan Wang, Fandong Meng, Zengkui Sun, Yunlong Liang, Yuxuan Cao, Jiarong Xu, Haoxiang Shi, Jie Zhou
2025 A* conf
Beyond Next Token Prediction: Patch-Level Training for Large Language Models.
ICLR
Chenze Shao, Fandong Meng, Jie Zhou
2025 J jnl
Bridging the reality gap: A benchmark for physical reasoning in general world models with various physical phenomena beyond mechanics.
Expert Syst. Appl.
Pengyu Zhao, Jinan Xu, Ning Cheng, Huiqi Hu, Xue Zhang, Xiuwen Xu, Zijian Jin, Fandong Meng, Jie Zhou, Wenjuan Han
2025 — conf
CM-Align: Consistency-based Multilingual Alignment for Large Language Models.
EMNLP (Findings)
Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2025 J jnl
CM-Align: Consistency-based Multilingual Alignment for Large Language Models.
CoRR
Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2025 A* conf
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning.
EMNLP
Ziqing Qiao, Yongheng Deng, Jiali Zeng, Dong Wang, Lai Wei, Guanbo Wang, Fandong Meng, Jie Zhou, Ju Ren, Yaoxue Zhang
2025 J jnl
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning.
CoRR
Ziqing Qiao, Yongheng Deng, Jiali Zeng, Dong Wang, Lai Wei, Fandong Meng, Jie Zhou, Ju Ren, Yaoxue Zhang
2025 J jnl
Conan: Progressive Learning to Reason Like a Detective over Multi-Scale Visual Evidence.
CoRR
Kun Ouyang, Yuanxin Liu, Linli Yao, Yishuo Cai, Hao Zhou, Jie Zhou, Fandong Meng, Xu Sun
2025 J jnl
Continuous Autoregressive Language Models.
CoRR
Chenze Shao, Darren Li, Fandong Meng, Jie Zhou
2025 A* conf
Continuous Visual Autoregressive Generation via Score Maximization.
ICML
Chenze Shao, Fandong Meng, Jie Zhou
2025 J jnl
Continuous Visual Autoregressive Generation via Score Maximization.
CoRR
Chenze Shao, Fandong Meng, Jie Zhou
2025 J jnl
D2C: Unlocking the Potential of Continuous Autoregressive Image Generation with Discrete Tokens.
CoRR
Panpan Wang, Liqiang Niu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2025 J jnl
DBudgetKV: Dynamic Budget in KV Cache Compression for Ensuring Optimal Performance.
CoRR
Xuanfan Ni, Liyan Xu, Chenyang Lyu, Longyue Wang, Mo Yu, Lemao Liu, Fandong Meng, Jie Zhou, Piji Li
2025 — conf
DRT: Deep Reasoning Translation via Long Chain-of-Thought.
ACL (Findings)
Jiaan Wang, Fandong Meng, Yunlong Liang, Jie Zhou
2025 J jnl
Deep Reasoning Translation via Reinforcement Learning.
CoRR
Jiaan Wang, Fandong Meng, Jie Zhou
2025 J jnl
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models.
CoRR
Xinyan Guan, Jiali Zeng, Fandong Meng, Chunlei Xin, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Jie Zhou
2025 A* conf
DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory.
ICLR
Yutong Wang, Jiali Zeng, Xuebo Liu, Derek F. Wong, Fandong Meng, Jie Zhou, Min Zhang
2025 — conf
Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings.
EMNLP (Findings)
Liyan Xu, Zhenlin Su, Mo Yu, Jiangnan Li, Fandong Meng, Jie Zhou
2025 J jnl
Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings.
CoRR
Liyan Xu, Zhenlin Su, Mo Yu, Jiangnan Li, Fandong Meng, Jie Zhou
2025 J jnl
Dissecting Long Reasoning Models: An Empirical Study.
CoRR
Yongyu Mu, Jiali Zeng, Bei Li, Xinyan Guan, Fandong Meng, Jie Zhou, Tong Xiao, Jingbo Zhu
2025 J jnl
EGAD: an edge-guided attention dehazing network for aircraft landing views.
J. Electronic Imaging
Yueting Chen, Yichun Tai, Fandong Meng, Zhijiang Zhang
2025 J jnl
Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space.
CoRR
Zhengrui Ma, Yang Feng, Chenze Shao, Fandong Meng, Jie Zhou, Min Zhang
2025 — conf
Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical Mapping.
ACL (Findings)
Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2025 J jnl
Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical Mapping.
CoRR
Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2025 J jnl
ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement Learning.
CoRR
Jiaan Wang, Fandong Meng, Jie Zhou
2025 J jnl
Figure It Out: Improving the Frontier of Reasoning with Active Visual Thinking.
CoRR
Meiqi Chen, Fandong Meng, Jie Zhou
2025 J jnl
GRAM-R
CoRR
Chenglong Wang, Yongyu Mu, Hang Zhou, Yifu Huo, Ziming Zhu, Jiali Zeng, Murun Yang, Bei Li, Tong Xiao, Xiaoyang Hao, Chunliang Zhang, Fandong Meng, Jingbo Zhu
2025 J jnl
Improving Multi-step RAG with Hypergraph-based Memory for Long-Context Complex Relational Modeling.
CoRR
Chulun Zhou, Chunkang Zhang, Guoxin Yu, Fandong Meng, Jie Zhou, Wai Lam, Mo Yu
2025 — conf
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning.
EMNLP (Findings)
Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Jinsong Su
2025 J jnl
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning.
CoRR
Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Jinsong Su
2025 J jnl
LaCo: Efficient Layer-wise Compression of Visual Tokens for Multimodal Large Language Models.
CoRR
Juntao Liu, Liqiang Niu, Wenchao Chen, Jie Zhou, Fandong Meng
2025 — conf
Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts.
ACL (1)
Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2025 J jnl
Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts.
CoRR
Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2025 — conf
LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information.
ACL (Findings)
Bowen Ping, Jiali Zeng, Fandong Meng, Shuo Wang, Jie Zhou, Shanghang Zhang
2025 J jnl
LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information.
CoRR
Bowen Ping, Jiali Zeng, Fandong Meng, Shuo Wang, Jie Zhou, Shanghang Zhang
2025 A* conf
MiniPLM: Knowledge Distillation for Pre-training Language Models.
ICLR
Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
2025 B conf
Multilingual Knowledge Editing with Language-Agnostic Factual Neurons.
COLING
Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2025 J jnl
Multiple large language models versus experienced physicians in diagnosing challenging cases with gastrointestinal symptoms.
npj Digit. Medicine
Xintian Yang, Tongxin Li, Han Wang, Rongchun Zhang, Zhi Ni, Na Liu, Huihong Zhai, Jianghai Zhao, Fandong Meng, Zhongyin Zhou, Shanhong Tang, Limei Wang, Xiangping Wang, Hui Luo, Gui Ren, Linhui Zhang, Xiaoyu Kang, Jun Wang, Ning Bo, Xiaoning Yang, Weijie Xue, Xiaoyin Zhang, Ning Chen, Rui Guo, Baiwen Li, Yajun Li, Yaling Liu, Tiantian Zhang, Shuhui Liang, Yong Lv, Yongzhan Nie, Daiming Fan, Lina Zhao, Yanglin Pan
2025 — conf
Personalized Language Model Learning on Text Data Without User Identifiers.
KDD (1)
Yucheng Ding, Yangwenjian Tan, Xiangyu Liu, Chaoyue Niu, Fandong Meng, Jie Zhou, Ning Liu, Fan Wu, Guihai Chen
2025 J jnl
Personalized Language Model Learning on Text Data Without User Identifiers.
CoRR
Yucheng Ding, Yangwenjian Tan, Xiangyu Liu, Chaoyue Niu, Fandong Meng, Jie Zhou, Ning Liu, Fan Wu, Guihai Chen
2025 — conf
PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension.
ACL (1)
Kun Ouyang, Yuanxin Liu, Shicheng Li, Yi Liu, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2025 — conf
Retrieval-Augmented Machine Translation with Unstructured Knowledge.
EMNLP (Findings)
Jiaan Wang, Fandong Meng, Yingxue Zhang, Jie Zhou
2025 J jnl
RewardAnything: Generalizable Principle-Following Reward Models.
CoRR
Zhuohao Yu, Jiali Zeng, Weizheng Gu, Yidong Wang, Jindong Wang, Fandong Meng, Jie Zhou, Yue Zhang, Shikun Zhang, Wei Ye
2025 J jnl
SlangDIT: Benchmarking LLMs in Interpretative Slang Translation.
CoRR
Yunlong Liang, Fandong Meng, Jiaan Wang, Jie Zhou
2025 — conf
THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation.
ACL (1)
Yunlong Liang, Fandong Meng, Jie Zhou
2025 J jnl
THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation.
CoRR
Yunlong Liang, Fandong Meng, Jie Zhou
2025 — conf
TIU-Bench: A Benchmark for Evaluating Large Multimodal Models on Text-rich Image Understanding.
EMNLP (Findings)
Kun Zhang, Liqiang Niu, Zhen Cao, Fandong Meng, Jie Zhou
2025 J jnl
Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning.
CoRR
Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Kaiyu Huang, Yufeng Chen, Jinan Xu, Jie Zhou
2025 J jnl
Touch100k: A large-scale touch-language-vision dataset for touch-centric multimodal representation.
Inf. Fusion
Ning Cheng, Jinan Xu, Changhao Guan, Jing Gao, Weihao Wang, You Li, Fandong Meng, Jie Zhou, Bin Fang, Wenjuan Han
2025 J jnl
UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings.
CoRR
Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Jinsong Su
2025 J jnl
Warmup-Distill: Bridge the Distribution Mismatch between Teacher and Student before Knowledge Distillation.
CoRR
Zengkui Sun, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2024 J jnl
AVG-LLaVA: A Large Multimodal Model with Adaptive Visual Granularity.
CoRR
Zhibin Lan, Liqiang Niu, Fandong Meng, Wenbo Li, Jie Zhou, Jinsong Su
2024 J jnl
Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy.
CoRR
Yijin Liu, Fandong Meng, Jie Zhou
2024 J jnl
Beyond Binary Gender: Evaluating Gender-Inclusive Machine Translation with Ambiguous Attitude Words.
CoRR
Yijie Chen, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2024 — conf
BranchNorm: Robustly Scaling Extremely Deep Transformers.
ACL (Findings)
Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou
2024 A* conf
C-LLM: Learn to Check Chinese Spelling Errors Character by Character.
EMNLP
Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou
2024 J jnl
C-LLM: Learn to Check Chinese Spelling Errors Character by Character.
CoRR
Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou
2024 J jnl
CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and Retrieval-Augmented Translation with Large Language Models.
CoRR
Meiqi Chen, Fandong Meng, Yingxue Zhang, Yan Zhang, Jie Zhou
2024 — conf
CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers.
ACL (1)
Yong Hu, Fandong Meng, Jie Zhou
2024 — conf
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective.
ACL (Findings)
Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2024 J jnl
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective.
CoRR
Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2024 J jnl
Complex Question Enhanced Transfer Learning for Zero-Shot Joint Information Extraction.
IEEE ACM Trans. Audio Speech Lang. Process.
Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2024 — conf
Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation.
ACL (1)
Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou
2024 — conf
Cross-Lingual Knowledge Editing in Large Language Models.
ACL (1)
Jiaan Wang, Yunlong Liang, Zengkui Sun, Yuxuan Cao, Jiarong Xu, Fandong Meng
2024 — conf
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding.
LREC/COLING
Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang
2024 J jnl
DRT-o1: Optimized Deep Reasoning Translation via Long Chain-of-Thought.
CoRR
Jiaan Wang, Fandong Meng, Yunlong Liang, Jie Zhou
2024 J jnl
Decentralized Decoupled Training for Federated Long-Tailed Learning.
Trans. Mach. Learn. Res.
Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2024 J jnl
DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory.
CoRR
Yutong Wang, Jiali Zeng, Xuebo Liu, Derek F. Wong, Fandong Meng, Jie Zhou, Min Zhang
2024 — conf
Enhancing Byzantine-Resistant Aggregations with Client Embedding.
EMNLP (Findings)
Zhiyuan Zhang, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2024 — conf
Exploring Conditional Variational Mechanism to Pinyin Input Method for Addressing One-to-Many Mappings in Low-Resource Scenarios.
ACL (Short Papers)
Bin Sun, Jianfeng Li, Hao Zhou, Fandong Meng, Kan Li, Jie Zhou
2024 J jnl
Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting.
CoRR
Zhiwei Zhang, Shaojun E, Fandong Meng, Jie Zhou, Wenjuan Han
2024 A* conf
Generative Multi-Modal Knowledge Retrieval with Large Language Models.
AAAI
Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou
2024 J jnl
Generative Multi-Modal Knowledge Retrieval with Large Language Models.
CoRR
Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou
2024 A* conf
How Effectively Do Code Language Models Understand Poor-Readability Code?
ASE
Chao Hu, Yitian Chai, Hao Zhou, Fandong Meng, Jie Zhou, Xiaodong Gu
2024 — conf
Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding.
ACL (Findings)
Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou
2024 — conf
Instruction Position Matters in Sequence Generation with Large Language Models.
ACL (Findings)
Yijin Liu, Xianfeng Zeng, Chenze Shao, Fandong Meng, Jie Zhou
2024 — conf
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation.
ACL (Findings)
Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2024 J jnl
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation.
CoRR
Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2024 A* conf
Language Generation with Strictly Proper Scoring Rules.
ICML
Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou
2024 J jnl
Language Generation with Strictly Proper Scoring Rules.
CoRR
Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou
2024 A* conf
Large Language Models Are Not Robust Multiple Choice Selectors.
ICLR
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
2024 J jnl
LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation.
CoRR
Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang
2024 — conf
LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation.
EMNLP (Findings)
Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang
2024 J jnl
MaskMamba: A Hybrid Mamba-Transformer Model for Masked Image Generation.
CoRR
Wenchao Chen, Liqiang Niu, Ziyao Lu, Fandong Meng, Jie Zhou
2024 J jnl
MiniPLM: Knowledge Distillation for Pre-Training Language Models.
CoRR
Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
2024 A* conf
Multi-Level Cross-Modal Alignment for Speech Relation Extraction.
EMNLP
Liang Zhang, Zhen Yang, Biao Fu, Ziyao Lu, Liangying Shao, Shiyu Liu, Fandong Meng, Jie Zhou, Xiaoli Wang, Jinsong Su
2024 J jnl
Multilingual Knowledge Editing with Language-Agnostic Factual Neurons.
CoRR
Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2024 — conf
On Large Language Models' Hallucination with Regard to Known Facts.
NAACL-HLT
Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou
2024 J jnl
On Large Language Models' Hallucination with Regard to Known Facts.
CoRR
Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou
2024 A* conf
On Prompt-Driven Safeguarding for Large Language Models.
ICML
Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng
2024 — conf
On the token distance modeling ability of higher RoPE attention dimension.
EMNLP (Findings)
Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou
2024 J jnl
On the token distance modeling ability of higher RoPE attention dimension.
CoRR
Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou
2024 — conf
Outdated Issue Aware Decoding for Factual Knowledge Editing.
ACL (Findings)
Zengkui Sun, Yijin Liu, Jiaan Wang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2024 J jnl
Outdated Issue Aware Decoding for Reasoning Questions on Edited Knowledge.
CoRR
Zengkui Sun, Yijin Liu, Jiaan Wang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2024 J jnl
Patch-Level Training for Large Language Models.
CoRR
Chenze Shao, Fandong Meng, Jie Zhou
2024 — conf
Plot Retrieval as an Assessment of Abstract Semantic Association.
ACL (Student Research Workshop)
Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2024 J jnl
Prompt-Driven LLM Safeguarding via Directed Representation Optimization.
CoRR
Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng
2024 J jnl
PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension.
CoRR
Kun Ouyang, Yuanxin Liu, Shicheng Li, Yi Liu, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2024 J jnl
Retrieval-Augmented Machine Translation with Unstructured Knowledge.
CoRR
Jiaan Wang, Fandong Meng, Yingxue Zhang, Jie Zhou
2024 — conf
TasTe: Teaching Large Language Models to Translate through Self-Reflection.
ACL (1)
Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang
2024 J jnl
TasTe: Teaching Large Language Models to Translate through Self-Reflection.
CoRR
Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang
2024 A* conf
Teaching Large Language Models to Translate with Comparison.
AAAI
Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou
2024 J jnl
Touch100k: A Large-Scale Touch-Language-Vision Dataset for Touch-Centric Multimodal Representation.
CoRR
Ning Cheng, Changhao Guan, Jing Gao, Weihao Wang, You Li, Fandong Meng, Jie Zhou, Bin Fang, Jinan Xu, Wenjuan Han
2024 A* conf
Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs.
ICLR
Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun
2024 — conf
Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation.
ACL (Findings)
Xianfeng Zeng, Yijin Liu, Fandong Meng, Jie Zhou
2024 — conf
Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation.
ACL (Findings)
Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Min Zhang, Jinsong Su
2024 J jnl
Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation.
CoRR
Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Min Zhang, Jinsong Su
2024 A* conf
Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models.
AAAI
Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou
2024 — conf
Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever.
ACL (Findings)
Xinwei Long, Jiali Zeng, Fandong Meng, Jie Zhou, Bowen Zhou
2024 — conf
UMTIT: Unifying Recognition, Translation, and Generation for Multimodal Text Image Translation.
LREC/COLING
Liqiang Niu, Fandong Meng, Jie Zhou
2024 — conf
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective.
ACL (1)
Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou
2024 J jnl
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective.
CoRR
Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou
2024 — conf
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation.
ACL (1)
Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2024 J jnl
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation.
CoRR
Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2024 — conf
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners.
NAACL-HLT
Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Fang Guo, Qinglin Qi, Jie Zhou, Yue Zhang
2023 J jnl
A Multi-Task Multi-Stage Transitional Training Framework for Neural Chat Translation.
IEEE Trans. Pattern Anal. Mach. Intell.
Chulun Zhou, Yunlong Liang, Fandong Meng, Jie Zhou, Jinan Xu, Hongji Wang, Min Zhang, Jinsong Su
2023 J jnl
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation.
CoRR
Chulun Zhou, Yunlong Liang, Fandong Meng, Jie Zhou, Jinan Xu, Hongji Wang, Min Zhang, Jinsong Su
2023 J jnl
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.
CoRR
Yun Luo, Zhen Yang, Fandong Meng, Yafu Li, Jie Zhou, Yue Zhang
2023 J jnl
BranchNorm: Robustly Scaling Extremely Deep Transformers.
CoRR
Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou
2023 — conf
Consistency Regularization Training for Compositional Generalization.
ACL (1)
Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang
2023 J jnl
Cross-Lingual Summarization via ChatGPT.
CoRR
Jiaan Wang, Yunlong Liang, Fandong Meng, Zhixu Li, Jianfeng Qu, Jie Zhou
2023 J jnl
D
CoRR
Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou
2023 — conf
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias.
ACL (Findings)
Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023 J jnl
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias.
CoRR
Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023 — conf
D²TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization.
EMNLP (Findings)
Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou
2023 — conf
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information.
EMNLP (Findings)
Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Jie Zhou, Yue Zhang
2023 J jnl
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information.
CoRR
Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Jie Zhou, Yue Zhang
2023 J jnl
Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling Correction.
CoRR
Kunting Li, Yong Hu, Shaolei Wang, Hanhan Ma, Liang He, Fandong Meng, Jie Zhou
2023 A* conf
Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense.
NeurIPS
Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023 A* conf
HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction.
EMNLP
Liang Zhang, Chulun Zhou, Fandong Meng, Jinsong Su, Yidong Chen, Jie Zhou
2023 J jnl
Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding.
CoRR
Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou
2023 J jnl
Improving Translation Faithfulness of Large Language Models via Augmenting Instructions.
CoRR
Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2023 J jnl
Instruction Position Matters in Sequence Generation with Large Language Models.
CoRR
Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou
2023 J jnl
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning.
CoRR
Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023 J jnl
Investigating Forgetting in Pre-Trained Representations Through Continual Learning.
CoRR
Yun Luo, Zhen Yang, Xuefeng Bai, Fandong Meng, Jie Zhou, Yue Zhang
2023 J jnl
Is ChatGPT a Good NLG Evaluator? A Preliminary Study.
CoRR
Jiaan Wang, Yunlong Liang, Fandong Meng, Haoxiang Shi, Zhixu Li, Jinan Xu, Jianfeng Qu, Jie Zhou
2023 A* conf
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.
EMNLP
Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023 J jnl
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.
CoRR
Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023 J jnl
Large Language Models Are Not Robust Multiple Choice Selectors.
CoRR
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
2023 J jnl
Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion.
CoRR
Yun Luo, Xiaotian Lin, Zhen Yang, Fandong Meng, Jie Zhou, Yue Zhang
2023 J jnl
Multi-modal graph contrastive encoding for neural machine translation.
Artif. Intell.
Yongjing Yin, Jiali Zeng, Jinsong Su, Chulun Zhou, Fandong Meng, Jie Zhou, Degen Huang, Jiebo Luo
2023 — conf
Personality Understanding of Fictional Characters during Book Reading.
ACL (1)
Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Xiao Zhou, Fandong Meng, Jie Zhou
2023 J jnl
Personality Understanding of Fictional Characters during Book Reading.
CoRR
Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Xiao Zhou, Fandong Meng, Jie Zhou
2023 J jnl
Plot Retrieval as an Assessment of Abstract Semantic Association.
CoRR
Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2023 — conf
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension.
ACL (Findings)
Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang, Jie Zhou
2023 — conf
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training.
ACL (Findings)
Chulun Zhou, Yunlong Liang, Fandong Meng, Jinan Xu, Jinsong Su, Jie Zhou
2023 J jnl
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training.
CoRR
Chulun Zhou, Yunlong Liang, Fandong Meng, Jinan Xu, Jinsong Su, Jie Zhou
2023 J jnl
RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge.
CoRR
Yi Liu, Lianzhe Huang, Shicheng Li, Sishuo Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
2023 — conf
Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement.
ACL (Findings)
Zhen Yang, Fandong Meng, Yuanmeng Yan, Jie Zhou
2023 — conf
Soft Language Clustering for Multilingual Model Pre-training.
ACL (1)
Jiali Zeng, Yufan Jiang, Yongjing Yin, Yi Jing, Fandong Meng, Binghuai Lin, Yunbo Cao, Jie Zhou
2023 J jnl
Soft Language Clustering for Multilingual Model Pre-training.
CoRR
Jiali Zeng, Yufan Jiang, Yongjing Yin, Yi Jing, Fandong Meng, Binghuai Lin, Yunbo Cao, Jie Zhou
2023 — conf
Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization.
ACL (1)
Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou
2023 J jnl
TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models.
CoRR
Zhen Yang, Yingxue Zhang, Fandong Meng, Jie Zhou
2023 J jnl
TIM: Teaching Large Language Models to Translate with Comparison.
CoRR
Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou
2023 A* conf
Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering.
ACM Multimedia
Yifan Dong, Suhang Wu, Fandong Meng, Jie Zhou, Xiaoli Wang, Jianxin Lin, Jinsong Su
2023 J jnl
Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering.
CoRR
Yifan Dong, Suhang Wu, Fandong Meng, Jie Zhou, Xiaoli Wang, Jianxin Lin, Jinsong Su
2023 J jnl
Towards Codable Text Watermarking for Large Language Models.
CoRR
Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun
2023 J jnl
Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation.
CoRR
Xianfeng Zeng, Yijin Liu, Fandong Meng, Jie Zhou
2023 — conf
Towards Unifying Multi-Lingual and Cross-Lingual Summarization.
ACL (1)
Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou
2023 J jnl
Towards Unifying Multi-Lingual and Cross-Lingual Summarization.
CoRR
Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou
2023 — conf
Understanding Translationese in Cross-Lingual Summarization.
EMNLP (Findings)
Jiaan Wang, Fandong Meng, Yunlong Liang, Tingyi Zhang, Jiarong Xu, Zhixu Li, Jie Zhou
2023 J jnl
Unified Model Learning for Various Neural Machine Translation.
CoRR
Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou
2023 J jnl
WeLayout: WeChat Layout Analysis System for the ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents.
CoRR
Mingliang Zhang, Zhen Cao, Juntao Liu, Liqiang Niu, Fandong Meng, Jie Zhou
2023 J jnl
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners.
CoRR
Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Fang Guo, Qinglin Qi, Jie Zhou, Yue Zhang
2022 J jnl
A Survey on Cross-Lingual Summarization.
CoRR
Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou
2022 J jnl
A Survey on Cross-Lingual Summarization.
Trans. Assoc. Comput. Linguistics
Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou
2022 — conf
A Variational Hierarchical Model for Neural Cross-Lingual Summarization.
ACL (1)
Yunlong Liang, Fandong Meng, Chulun Zhou, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou
2022 J jnl
A Variational Hierarchical Model for Neural Cross-Lingual Summarization.
CoRR
Yunlong Liang, Fandong Meng, Chulun Zhou, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou
2022 A* conf
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models.
NeurIPS
Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
2022 J jnl
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models.
CoRR
Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
2022 J jnl
An AST Structure Enhanced Decoder for Code Generation.
IEEE ACM Trans. Audio Speech Lang. Process.
Hui Jiang, Linfeng Song, Yubin Ge, Fandong Meng, Junfeng Yao, Jinsong Su
2022 — conf
BJTU-WeChat's Systems for the WMT22 Chat Translation Task.
WMT
Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2022 J jnl
BJTU-WeChat's Systems for the WMT22 Chat Translation Task.
CoRR
Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2022 J jnl
CSCD-IME: Correcting Spelling Errors Generated by Pinyin IME.
CoRR
Yong Hu, Fandong Meng, Jie Zhou
2022 B conf
Categorizing Semantic Representations for Neural Machine Translation.
COLING
Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang
2022 J jnl
Categorizing Semantic Representations for Neural Machine Translation.
CoRR
Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang
2022 A* conf
ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization.
EMNLP
Jiaan Wang, Fandong Meng, Ziyao Lu, Duo Zheng, Zhixu Li, Jianfeng Qu, Jie Zhou
2022 J jnl
ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization.
CoRR
Jiaan Wang, Fandong Meng, Ziyao Lu, Duo Zheng, Zhixu Li, Jianfeng Qu, Jie Zhou
2022 — conf
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation.
ACL (1)
Songming Zhang, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jian Liu, Jie Zhou
2022 J jnl
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation.
CoRR
Songming Zhang, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jian Liu, Jie Zhou
2022 — conf
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation.
ACL (1)
Chulun Zhou, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang, Jinsong Su
2022 J jnl
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation.
CoRR
Chulun Zhou, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang, Jinsong Su
2022 A* conf
Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment.
EMNLP
Siyu Lai, Zhen Yang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2022 J jnl
Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment.
CoRR
Siyu Lai, Zhen Yang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2022 J jnl
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding.
CoRR
Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang
2022 A* conf
Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space.
EMNLP
Jianhao Yan, Chenming Wu, Fandong Meng, Jie Zhou
2022 — conf
EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation.
ACL (1)
Yulin Xu, Zhen Yang, Fandong Meng, Jie Zhou
2022 J jnl
EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation.
CoRR
Yulin Xu, Zhen Yang, Fandong Meng, Jie Zhou
2022 J jnl
Emotional conversation generation with heterogeneous graph neural network.
Artif. Intell.
Yunlong Liang, Fandong Meng, Ying Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2022 — conf
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection.
EMNLP (Findings)
Lanrui Wang, Jiangnan Li, Zheng Lin, Fandong Meng, Chenxu Yang, Weiping Wang, Jie Zhou
2022 J jnl
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection.
CoRR
Lanrui Wang, Jiangnan Li, Zheng Lin, Fandong Meng, Chenxu Yang, Weiping Wang, Jie Zhou
2022 — conf
Findings of the WMT 2022 Shared Task on Translation Suggestion.
WMT
Zhen Yang, Fandong Meng, Yingxue Zhang, Ernan Li, Jie Zhou
2022 J jnl
Findings of the WMT 2022 Shared Task on Translation Suggestion.
CoRR
Zhen Yang, Fandong Meng, Yingxue Zhang, Ernan Li, Jie Zhou
2022 — conf
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation.
NAACL-HLT
Siyu Lai, Zhen Yang, Fandong Meng, Xue Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2022 J jnl
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation.
CoRR
Siyu Lai, Zhen Yang, Fandong Meng, Xue Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2022 — conf
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA.
EMNLP (Findings)
Qingyi Si, Fandong Meng, Mingyu Zheng, Zheng Lin, Yuanxin Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
2022 J jnl
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA.
CoRR
Qingyi Si, Fandong Meng, Mingyu Zheng, Zheng Lin, Yuanxin Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
2022 — conf
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training.
NAACL-HLT
Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
2022 J jnl
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training.
CoRR
Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
2022 J jnl
MKGN: A Multi-Dimensional Knowledge Enhanced Graph Network for Multi-Hop Question and Answering.
IEICE Trans. Inf. Syst.
Ying Zhang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2022 — conf
MSCTD: A Multimodal Sentiment Chat Translation Dataset.
ACL (1)
Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2022 J jnl
MSCTD: A Multimodal Sentiment Chat Translation Dataset.
CoRR
Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2022 A* conf
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge.
IJCAI
Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
2022 J jnl
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge.
CoRR
Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
2022 J jnl
Probing Causes of Hallucinations in Neural Machine Translations.
CoRR
Jianhao Yan, Fandong Meng, Jie Zhou
2022 J jnl
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension.
CoRR
Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang, Jie Zhou
2022 J jnl
Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement.
CoRR
Zhen Yang, Fandong Meng, Yuanmeng Yan, Jie Zhou
2022 — conf
Scheduled Multi-task Learning for Neural Chat Translation.
ACL (1)
Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2022 J jnl
Scheduled Multi-task Learning for Neural Chat Translation.
CoRR
Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
2022 J jnl
Spot the Difference: A Cooperative Object-Referring Game in Non-Perfectly Co-Observable Scene.
CoRR
Duo Zheng, Fandong Meng, Qingyi Si, Hairun Fan, Zipeng Xu, Jie Zhou, Fangxiang Feng, Xiaojie Wang
2022 J jnl
Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization.
CoRR
Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou
2022 — conf
Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task.
WMT
Ernan Li, Fandong Meng, Jie Zhou
2022 J jnl
Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task.
CoRR
Ernan Li, Fandong Meng, Jie Zhou
2022 B conf
TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation.
COLING
Chenxu Yang, Zheng Lin, Jiangnan Li, Fandong Meng, Weiping Wang, Lanrui Wang, Jie Zhou
2022 B conf
TSAM: A Two-Stream Attention Model for Causal Emotion Entailment.
COLING
Duzhen Zhang, Zhen Yang, Fandong Meng, Xiuyi Chen, Jie Zhou
2022 J jnl
TSAM: A Two-Stream Attention Model for Causal Emotion Entailment.
CoRR
Duzhen Zhang, Zhen Yang, Fandong Meng, Xiuyi Chen, Jie Zhou
2022 J jnl
Towards Robust Online Dialogue Response Generation.
CoRR
Leyang Cui, Fandong Meng, Yijin Liu, Jie Zhou, Yue Zhang
2022 — conf
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning.
EMNLP (Findings)
Qingyi Si, Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
2022 J jnl
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning.
CoRR
Qingyi Si, Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
2022 A* conf
Towards Robust k-Nearest-Neighbor Machine Translation.
EMNLP
Hui Jiang, Ziyao Lu, Fandong Meng, Chulun Zhou, Jie Zhou, Degen Huang, Jinsong Su
2022 J jnl
Towards Robust k-Nearest-Neighbor Machine Translation.
CoRR
Hui Jiang, Ziyao Lu, Fandong Meng, Chulun Zhou, Jie Zhou, Degen Huang, Jinsong Su
2022 J jnl
Understanding Translationese in Cross-Lingual Summarization.
CoRR
Jiaan Wang, Fandong Meng, Tingyi Zhang, Yunlong Liang, Jiarong Xu, Zhixu Li, Jie Zhou
2022 A* conf
Visual Dialog for Spotting the Differences between Pairs of Similar Images.
ACM Multimedia
Duo Zheng, Fandong Meng, Qingyi Si, Hairun Fan, Zipeng Xu, Jie Zhou, Fangxiang Feng, Xiaojie Wang
2022 A* conf
WeTS: A Benchmark for Translation Suggestion.
EMNLP
Zhen Yang, Fandong Meng, Yingxue Zhang, Ernan Li, Jie Zhou
2021 J jnl
A dependency syntactic knowledge augmented interactive architecture for end-to-end aspect-based sentiment analysis.
Neurocomputing
Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2021 — conf
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis.
EMNLP (Findings)
Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2021 — conf
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation.
ACL/IJCNLP (2)
Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu, Jie Zhou
2021 J jnl
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation.
CoRR
Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu, Jie Zhou
2021 — conf
Competence-based Curriculum Learning for Multilingual Machine Translation.
EMNLP (Findings)
Mingliang Zhang, Fandong Meng, Yunhai Tong, Jie Zhou
2021 J jnl
Competence-based Curriculum Learning for Multilingual Machine Translation.
CoRR
Mingliang Zhang, Fandong Meng, Yunhai Tong, Jie Zhou
2021 — conf
Confidence-Aware Scheduled Sampling for Neural Machine Translation.
ACL/IJCNLP (Findings)
Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2021 J jnl
Confidence-Aware Scheduled Sampling for Neural Machine Translation.
CoRR
Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2021 — conf
Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition.
NAACL-HLT
Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou
2021 — conf
Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser.
EMNLP (Findings)
Duo Zheng, Zipeng Xu, Fandong Meng, Xiaojie Wang, Jiaan Wang, Jie Zhou
2021 J jnl
Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser.
CoRR
Duo Zheng, Zipeng Xu, Fandong Meng, Xiaojie Wang, Jiaan Wang, Jie Zhou
2021 — conf
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation.
ACL/IJCNLP (1)
Hui Jiang, Chulun Zhou, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu, Jinsong Su
2021 J jnl
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation.
CoRR
Hui Jiang, Chulun Zhou, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu, Jinsong Su
2021 A* conf
Faster Depth-Adaptive Transformers.
AAAI
Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu
2021 J jnl
GTM: A Generative Triple-Wise Model for Conversational Question Generation.
CoRR
Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou
2021 — conf
GTM: A Generative Triple-wise Model for Conversational Question Generation.
ACL/IJCNLP (1)
Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou
2021 — conf
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog.
ACL/IJCNLP (Findings)
Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li, Jie Zhou
2021 J jnl
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog.
CoRR
Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li, Jie Zhou
2021 — conf
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings.
EMNLP (1)
Shaopeng Lai, Ante Wang, Fandong Meng, Jie Zhou, Yubin Ge, Jiali Zeng, Junfeng Yao, Degen Huang, Jinsong Su
2021 J jnl
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings.
CoRR
Shaopeng Lai, Ante Wang, Fandong Meng, Jie Zhou, Yubin Ge, Jiali Zeng, Junfeng Yao, Degen Huang, Jinsong Su
2021 A* conf
Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation.
AAAI
Yunlong Liang, Fandong Meng, Ying Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2021 J jnl
MS-Ranker: Accumulating evidence from potentially correct candidates via reinforcement learning for answer selection.
Neurocomputing
Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou
2021 — conf
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation.
ACL/IJCNLP (1)
Yuanxin Liu, Fandong Meng, Zheng Lin, Weiping Wang, Jie Zhou
2021 J jnl
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation.
CoRR
Yuanxin Liu, Fandong Meng, Zheng Lin, Weiping Wang, Jie Zhou
2021 — conf
Modeling Bilingual Conversational Characteristics for Neural Chat Translation.
ACL/IJCNLP (1)
Yunlong Liang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2021 J jnl
Modeling Bilingual Conversational Characteristics for Neural Chat Translation.
CoRR
Yunlong Liang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2021 A conf
Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue.
BMVC
Zipeng Xu, Fandong Meng, Xiaojie Wang, Duo Zheng, Chenxu Lv, Jie Zhou
2021 J jnl
Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue.
CoRR
Zipeng Xu, Fandong Meng, Xiaojie Wang, Duo Zheng, Chenxu Lv, Jie Zhou
2021 — conf
Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation.
ACL/IJCNLP (Findings)
Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li, Jie Zhou
2021 J jnl
Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation.
CoRR
Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li, Jie Zhou
2021 — conf
Prevent the Language Model from being Overconfident in Neural Machine Translation.
ACL/IJCNLP (1)
Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou
2021 J jnl
Prevent the Language Model from being Overconfident in Neural Machine Translation.
CoRR
Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou
2021 J jnl
Rethinking the Evaluation of Neural Machine Translation.
CoRR
Jianhao Yan, Chenming Wu, Fandong Meng, Jie Zhou
2021 — conf
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation.
EMNLP (1)
Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2021 J jnl
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation.
CoRR
Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2021 — conf
Selective Knowledge Distillation for Neural Machine Translation.
ACL/IJCNLP (1)
Fusheng Wang, Jianhao Yan, Fandong Meng, Jie Zhou
2021 J jnl
Selective Knowledge Distillation for Neural Machine Translation.
CoRR
Fusheng Wang, Jianhao Yan, Fandong Meng, Jie Zhou
2021 J jnl
Sequence-Level Training for Non-Autoregressive Neural Machine Translation.
Comput. Linguistics
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou
2021 J jnl
Sequence-Level Training for Non-Autoregressive Neural Machine Translation.
CoRR
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou
2021 J jnl
Simulated annealing for optimization of graphs and sequences.
CoRR
Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song
2021 J jnl
Simulated annealing for optimization of graphs and sequences.
Neurocomputing
Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song
2021 J jnl
Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition.
CoRR
Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2021 — conf
Target-oriented Fine-tuning for Zero-Resource Named Entity Recognition.
ACL/IJCNLP (Findings)
Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2021 — conf
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation.
EMNLP (1)
Yunlong Liang, Chulun Zhou, Fandong Meng, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou
2021 J jnl
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation.
CoRR
Yunlong Liang, Chulun Zhou, Fandong Meng, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou
2021 — conf
Unsupervised Knowledge Selection for Dialogue Generation.
ACL/IJCNLP (Findings)
Xiuyi Chen, Feilong Chen, Fandong Meng, Peng Li, Jie Zhou
2021 — conf
WeChat Neural Machine Translation Systems for WMT21.
WMT@EMNLP
Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou
2021 J jnl
WeChat Neural Machine Translation Systems for WMT21.
CoRR
Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou
2021 J jnl
WeTS: A Benchmark for Translation Suggestion.
CoRR
Zhen Yang, Yingxue Zhang, Ernan Li, Fandong Meng, Jie Zhou
2020 A* conf
A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking.
ACL
Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Cheng Niu, Jie Zhou
2020 J jnl
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis.
CoRR
Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou
2020 A* conf
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation.
ACL
Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou, Zhengyuan Yang, Jie Zhou, Jiebo Luo
2020 J jnl
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation.
CoRR
Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou, Zhengyuan Yang, Jie Zhou, Jiebo Luo
2020 — conf
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph.
EMNLP (Findings)
Lin Qiao, Jianhao Yan, Fandong Meng, Zhendong Yang, Jie Zhou
2020 J jnl
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph.
CoRR
Lin Qiao, Jianhao Yan, Fandong Meng, Zhendong Yang, Jie Zhou
2020 J jnl
An Iterative Knowledge Transfer Network with Routing for Aspect-based Sentiment Analysis.
CoRR
Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou
2020 — conf
Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation.
EMNLP (1)
Xiuyi Chen, Fandong Meng, Peng Li, Feilong Chen, Shuang Xu, Bo Xu, Jie Zhou
2020 A* conf
DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog.
AAAI
Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou
2020 J jnl
Depth-Adaptive Graph Recurrent Network for Text Classification.
CoRR
Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
2020 J jnl
Dual Past and Future for Neural Machine Translation.
CoRR
Jianhao Yan, Fandong Meng, Jie Zhou
2020 A* conf
Dynamic Context-guided Capsule Network for Multimodal Machine Translation.
ACM Multimedia
Huan Lin, Fandong Meng, Jinsong Su, Yongjing Yin, Zhengyuan Yang, Yubin Ge, Jie Zhou, Jiebo Luo
2020 J jnl
Dynamic Context-guided Capsule Network for Multimodal Machine Translation.
CoRR
Huan Lin, Fandong Meng, Jinsong Su, Yongjing Yin, Zhengyuan Yang, Yubin Ge, Jie Zhou, Jiebo Luo
2020 A* conf
Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions.
AAAI
Yongjing Yin, Fandong Meng, Jinsong Su, Yubin Ge, Linfeng Song, Jie Zhou, Jiebo Luo
2020 J jnl
Explicitly Modeling Adaptive Depths for Transformer.
CoRR
Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu
2020 J jnl
Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation.
CoRR
Yunlong Liang, Fandong Meng, Ying Zhang, Jinan Xu, Yufeng Chen, Jie Zhou
2020 J jnl
MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection.
CoRR
Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou
2020 A* conf
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation.
AAAI
Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou
2020 J jnl
Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis.
CoRR
Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
2020 — conf
Multi-Unit Transformers for Neural Machine Translation.
EMNLP (1)
Jianhao Yan, Fandong Meng, Jie Zhou
2020 J jnl
Multi-Unit Transformers for Neural Machine Translation.
CoRR
Jianhao Yan, Fandong Meng, Jie Zhou
2020 A* conf
Multi-Zone Unit for Recurrent Neural Networks.
AAAI
Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou
2020 — conf
Token-level Adaptive Training for Neural Machine Translation.
EMNLP (1)
Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu
2020 J jnl
Token-level Adaptive Training for Neural Machine Translation.
CoRR
Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu
2020 J jnl
Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization.
CoRR
Zeyang Lei, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Yujiu Yang, Cheng Niu, Jie Zhou
2020 A* conf
Unsupervised Paraphrasing by Simulated Annealing.
ACL
Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song
2020 — conf
WeChat Neural Machine Translation Systems for WMT20.
WMT@EMNLP
Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou
2020 J jnl
WeChat Neural Machine Translation Systems for WMT20.
CoRR
Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou
2019 — conf
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis.
EMNLP/IJCNLP (1)
Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou
2019 J jnl
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis.
CoRR
Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou
2019 — conf
Bridging the Gap between Training and Inference for Neural Machine Translation.
ACL (1)
Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu
2019 J jnl
Bridging the Gap between Training and Inference for Neural Machine Translation.
CoRR
Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu
2019 — conf
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding.
EMNLP/IJCNLP (1)
Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu
2019 J jnl
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding.
CoRR
Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu
2019 J jnl
DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog.
CoRR
Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou
2019 A* conf
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation.
AAAI
Fandong Meng, Jinchao Zhang
2019 — conf
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation.
EMNLP/IJCNLP (1)
Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou
2019 J jnl
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation.
CoRR
Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou
2019 — conf
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling.
ACL (1)
Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou
2019 J jnl
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling.
CoRR
Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou
2019 J jnl
Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation.
CoRR
Yong Shan, Yang Feng, Jinchao Zhang, Fandong Meng, Wen Zhang
2019 — conf
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations.
ACL (1)
Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou
2019 J jnl
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations.
CoRR
Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou
2019 J jnl
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation.
CoRR
Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou
2019 J jnl
Multi-Zone Unit for Recurrent Neural Networks.
CoRR
Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou
2019 — conf
Ranking Like Human: Global-View Matching via Reinforcement Learning for Answer Selection.
IALP
Yingxue Zhang, Ping Jian, Ruiying Geng, Yuansheng Song, Fandong Meng
2019 — conf
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation.
ACL (1)
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou
2019 J jnl
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation.
CoRR
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou
2019 J jnl
Semantic Graph Convolutional Network for Implicit Discourse Relation Classification.
CoRR
Yingxue Zhang, Ping Jian, Fandong Meng, Ruiying Geng, Wei Cheng, Jie Zhou
2019 J jnl
Unsupervised Paraphrasing by Simulated Annealing.
CoRR
Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song
2018 J jnl
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation.
CoRR
Fandong Meng, Jinchao Zhang
2018 A* conf
Modeling Localness for Self-Attention Networks.
EMNLP
Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, Tong Zhang
2018 J jnl
Modeling Localness for Self-Attention Networks.
CoRR
Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, Tong Zhang
2018 A* conf
Neural Machine Translation with Key-Value Memory-Augmented Attention.
IJCAI
Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang
2018 J jnl
Neural Machine Translation with Key-Value Memory-Augmented Attention.
CoRR
Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang
2018 — conf
Towards Robust Neural Machine Translation.
ACL (1)
Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, Yang Liu
2018 J jnl
Towards Robust Neural Machine Translation.
CoRR
Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, Yang Liu
2016 B conf
Interactive Attention for Neural Machine Translation.
COLING
Fandong Meng, Zhengdong Lu, Hang Li, Qun Liu
2016 J jnl
Interactive Attention for Neural Machine Translation.
CoRR
Fandong Meng, Zhengdong Lu, Hang Li, Qun Liu
2016 — conf
Is Local Window Essential for Neural Network Based Chinese Word Segmentation?
CCL
Jinchao Zhang, Fandong Meng, Mingxuan Wang, Daqi Zheng, Wenbin Jiang, Qun Liu
2016 — conf
MaxSD: A Neural Machine Translation Evaluation Metric Optimized by Maximizing Similarity Distance.
NLPCC/ICCPOL
Qingsong Ma, Fandong Meng, Daqi Zheng, Mingxuan Wang, Yvette Graham, Wenbin Jiang, Qun Liu
2016 J jnl
Neural Machine Translation with External Phrase Memory.
CoRR
Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, Philip L. H. Yu
2016 J jnl
Topic-based term translation models for statistical machine translation.
Artif. Intell.
Deyi Xiong, Fandong Meng, Qun Liu
2015 — conf
Encoding Source Language with Convolutional Neural Network for Machine Translation.
ACL (1)
Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu
2015 J jnl
Encoding Source Language with Convolutional Neural Network for Machine Translation.
CoRR
Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu
2015 J jnl
Neural Transformation Machine: A New Architecture for Sequence-to-Sequence Learning.
CoRR
Fandong Meng, Zhengdong Lu, Zhaopeng Tu, Hang Li, Qun Liu
2014 B conf
A Dependency Edge-based Transfer Model for Statistical Machine Translation.
COLING
Hongshen Chen, Jun Xie, Fandong Meng, Wenbin Jiang, Qun Liu
2014 A* conf
Modeling Term Translation for Document-informed Machine Translation.
EMNLP
Fandong Meng, Deyi Xiong, Wenbin Jiang, Qun Liu
2013 A* conf
Translation with Source Constituency and Dependency Trees.
EMNLP
Fandong Meng, Jun Xie, Linfeng Song, Yajuan Lü, Qun Liu
2012 — conf
Discriminative Boosting from Dictionary and Raw Text - A Novel Approach to Build A Chinese Word Segmenter.
COLING (Posters)
Fandong Meng, Wenbin Jiang, Hao Xiong, Qun Liu
2012 — conf
ICT: A Translation based Method for Cross-lingual Textual Entailment.
SemEval@NAACL-HLT
Fandong Meng, Hao Xiong, Qun Liu
2012 — conf
Iterative Annotation Transformation with Predict-Self Reestimation for Chinese Word Segmentation.
EMNLP-CoNLL
Wenbin Jiang, Fandong Meng, Qun Liu, Yajuan Lü
2011 — conf
ETS: An Error Tolerable System for Coreference Resolution.
CoNLL Shared Task
Hao Xiong, Linfeng Song, Fandong Meng, Yang Liu, Qun Liu, Yajuan Lv
2011 — conf
The
NTCIR
Hao Xiong, Linfeng Song, Fandong Meng, Yajuan Lü, Qun Liu