Huang, Fei

107 publications

ICLR 2026 A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models Junjie Zhang, Guozheng Ma, Shunyu Liu, Haoyu Wang, Jiaxing Huang, Ting-En Lin, Fei Huang, Yongbin Li, Dacheng Tao

ICLR 2026 Adaptive Social Learning via Mode Policy Optimization for Language Agents Minzheng Wang, Yongbin Li, Haobo Wang, Xinghua Zhang, Nan Xu, Bingli Wu, Fei Huang, Haiyang Yu, Wenji Mao

ICLR 2026 AgentFold: Long-Horizon Web Agents with Proactive Context Folding Rui Ye, Zhongwang Zhang, Kuan Li, Huifeng Yin, Zhengwei Tao, Yida Zhao, Liangcai Su, Liwen Zhang, Zile Qiao, Xinyu Wang, Pengjun Xie, Fei Huang, Jingren Zhou, Siheng Chen, Yong Jiang

ICLR 2026 Agentic Reinforcement Learning with Implicit Step Rewards Xiaoqian Liu, Ke Wang, Yuchuan Wu, Fei Huang, Yongbin Li, Jianbin Jiao, Junge Zhang

ICLR 2026 Demystifying Deep Search: A Holistic Evaluation with Hint-Free Multi-Hop Questions and Factorised Metrics Maojia Song, Liu Renhang, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Soujanya Poria, Jingren Zhou

ICLR 2026 Empowering Efficiency and Efficacy in WebAgent via Enabling Info-Rich Seeking Zhengwei Tao, Haiyang Shen, Baixuan Li, Wenbiao Yin, Jialong Wu, Kuan Li, Zhongwang Zhang, Huifeng Yin, Rui Ye, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou, Wentao Zhang, Yun Ma, Zhiqiang Gao

ICLR 2026 Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis Xuanzhong Chen, Zile Qiao, Guoxin Chen, Liangcai Su, Zhen Zhang, Xinyu Wang, Pengjun Xie, Fei Huang, Jingren Zhou, Yong Jiang, Ting Chen

ICLR 2026 IterResearch: Rethinking Long-Horizon Agents with Interaction Scaling Guoxin Chen, Zile Qiao, Xuanzhong Chen, Donglei Yu, Haotian Xu, Xin Zhao, Ruihua Song, Wenbiao Yin, Huifeng Yin, Liwen Zhang, Kuan Li, Minpeng Liao, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou

ICLR 2026 Language Confusion Gate: Language-Aware Decoding Through Model Self-Distillation Collin Zhang, Fei Huang, Chenhan Yuan, Junyang Lin

ICLR 2026 OSWorld-MCP: Benchmarking MCP Tool Invocation in Computer-Use Agents Hongrui Jia, Jitong Liao, Xi Zhang, Haiyang Xu, Tianbao Xie, Chaoya Jiang, Ming Yan, Si Liu, Wei Ye, Fei Huang

ICLR 2026 Overcoming Joint Intractability with Lossless Hierarchical Speculative Decoding Yuxuan Zhou, Fei Huang, Heng Li, Fengyi Wu, Tianyu Wang, Jianwei Zhang, Junyang Lin, Zhi-Qi Cheng

ICLR 2026 P-GenRM: Personalized Generative Reward Model with Test-Time User-Based Scaling Pinyi Zhang, Ting-En Lin, Yuchuan Wu, Jingyang Chen, Zongqi Wang, Hua Yang, Xu Ze, Fei Huang, Yongbin Li, Kai Zhang

ICLR 2026 Perception-Aware Policy Optimization for Multimodal Reasoning Zhenhailong Wang, Xuehang Guo, Sofia Stoica, Haiyang Xu, Hongru Wang, Hyeonjeong Ha, Xiusi Chen, Yangyi Chen, Ming Yan, Fei Huang, Heng Ji

ICLR 2026 Repurposing Synthetic Data for Fine-Grained Search Agent Supervision Yida Zhao, Kuan Li, Xixi Wu, Liwen Zhang, Ding-Chu Zhang, Baixuan Li, Maojia Song, Zhuo Chen, Chenxi Wang, Xinyu Wang, Kewei Tu, Pengjun Xie, Fei Huang, Jingren Zhou, Yong Jiang

ICLR 2026 Rethinking LLM Evaluation: Can We Evaluate LLMs with 200× Less Data? Shaobo Wang, Cong Wang, Wenjie Fu, Yue Min, Mingquan Feng, Isabel Guan, Xuming Hu, Conghui He, Cunxiang Wang, Kexin Yang, Xingzhang Ren, Fei Huang, Dayiheng Liu, Linfeng Zhang

ICLR 2026 SASFT: Sparse Autoencoder-Guided Supervised Finetuning to Mitigate Unexpected Code-Switching in LLMs Boyi Deng, Yu Wan, Baosong Yang, Fei Huang, Wenjie Wang, Fuli Feng

ICLR 2026 SPELL: Self-Play Reinforcement Learning for Evolving Long-Context Language Models Ziyi Yang, Weizhou Shen, Chenliang Li, Ruijun Chen, Fanqi Wan, Ming Yan, Xiaojun Quan, Fei Huang

ICLR 2026 Scaling Agents via Continual Pre-Training Liangcai Su, Zhen Zhang, Guangyu Li, Zhuo Chen, Chenxi Wang, Maojia Song, Xinyu Wang, Kuan Li, Jialong Wu, Xuanzhong Chen, Zile Qiao, Zhongwang Zhang, Huifeng Yin, Shihao Cai, Runnan Fang, Zhengwei Tao, Wenbiao Yin, Rui Ye, Yong Jiang, Ningyu Zhang, Pengjun Xie, Fei Huang, Kai Ye, Kewei Tu, Chenxiong Qian, Jingren Zhou

ICLR 2026 Scaling Generalist Data-Analytic Agents Shuofei Qiao, Yanqiu Zhao, Zhisong Qiu, Xiaobin Wang, Jintian Zhang, Zhao Bin, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

ICLR 2026 SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization Huashan Sun, Shengyi Liao, Yansen Han, Yu Bai, Yang Gao, Cheng Fu, Weizhou Shen, Fanqi Wan, Ming Yan, Ji Zhang, Fei Huang

ICLR 2026 WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning Kuan Li, Zhongwang Zhang, Huifeng Yin, Rui Ye, Yida Zhao, Liwen Zhang, Litu Ou, Ding-Chu Zhang, Xixi Wu, Xinmiao Yu, Jialong Wu, Xinyu Wang, Zile Qiao, Zhen Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Zhi-Qin John Xu, Shuai Wang, Minhao Cheng, Jingren Zhou

ICLR 2026 WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization Zhengwei Tao, Jialong Wu, Wenbiao Yin, Pu Wu, Junkai Zhang, Baixuan Li, Haiyang Shen, Kuan Li, Liwen Zhang, Xinyu Wang, Wentao Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou

ICLR 2026 WebWatcher: Breaking New Frontiers of Vision-Language Deep Research Agent Xinyu Geng, Peng Xia, Zhen Zhang, Xinyu Wang, Qiuchen Wang, Ruixue Ding, Chenxi Wang, Jialong Wu, Kuan Li, Yida Zhao, Huifeng Yin, Yong Jiang, Pengjun Xie, Fei Huang, Huaxiu Yao, Yi R. Fung, Jingren Zhou

ICLR 2026 WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research Zijian Li, Xin Guan, Bo Zhang, Shen Huang, Houquan Zhou, Shaopeng Lai, Ming Yan, Yong Jiang, Pengjun Xie, Fei Huang, Jun Zhang, Jingren Zhou

CVPR 2025 AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization Yiyang Du, Xiaochen Wang, Chi Chen, Jiabo Ye, Yiru Wang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Zhifang Sui, Maosong Sun, Yang Liu

ICLRW 2025 Agentic Knowledgeable Self-Awareness Shuofei Qiao, Zhisong Qiu, Baochang Ren, Xiaobin Wang, Xiangyuan Ru, Ningyu Zhang, Xiang Chen, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

ICLR 2025 Benchmarking Agentic Workflow Generation Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

ICLRW 2025 Benchmarking Agentic Workflow Generation Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

ICLR 2025 Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-Adaptive Planning Agent Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, Hui Wang, Hai-Tao Zheng, Fei Huang, Jingren Zhou, Philip S. Yu

NeurIPS 2025 CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention Xiaomeng Hu, Fei Huang, Chenhan Yuan, Junyang Lin, Tsung-Yi Ho

ICML 2025 CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration Haoyun Jiang, Haolin Li, Jianwei Zhang, Fei Huang, Qiang Hu, Minmin Sun, Shuai Xiao, Yong Li, Junyang Lin, Jiangchao Yao

ICML 2025 ConText: Driving In-Context Learning for Text Removal and Segmentation Fei Zhang, Pei Zhang, Baosong Yang, Fei Huang, Yanfeng Wang, Ya Zhang

AAAI 2025 Debate Helps Weak-to-Strong Generalization Hao Lang, Fei Huang, Yongbin Li

ICML 2025 Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models Xin Cheng, Jiabo Ye, Haiyang Xu, Ming Yan, Ji Zhang, Feng Liu, Fei Huang, Lei Feng

NeurIPS 2025 Gated Attention for Large Language Models: Non-Linearity, Sparsity, and Attention-Sink-Free Zihan Qiu, Zekun Wang, Bo Zheng, Zeyu Huang, Kaiyue Wen, Songlin Yang, Rui Men, Le Yu, Fei Huang, Suozhi Huang, Dayiheng Liu, Jingren Zhou, Junyang Lin

ICML 2025 LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs – No Silver Bullet for LC or RAG Routing Kuan Li, Liwen Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Shuai Wang, Minhao Cheng

NeurIPS 2025 Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation Yuyang Wanyan, Xi Zhang, Haiyang Xu, Haowei Liu, Junyang Wang, Jiabo Ye, Yutong Kou, Ming Yan, Fei Huang, Xiaoshan Yang, Weiming Dong, Changsheng Xu

ICLR 2025 On the Role of Attention Heads in Large Language Model Safety Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Kun Wang, Yang Liu, Junfeng Fang, Yongbin Li

NeurIPS 2025 OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-Time Emotional Speech Synthesis Run Luo, Ting-En Lin, Haonan Zhang, Yuchuan Wu, Xiong Liu, Yongbin Li, Longze Chen, Jiaming Li, Lei Zhang, Xiaobo Xia, Hamid Alinejad-Rokny, Fei Huang, Min Yang

ICLRW 2025 PC-Agent: A Hierarchical Agentic Framework for Complex Task Automation on PC Haowei Liu, Xi Zhang, Haiyang Xu, Yuyang Wanyan, Junyang Wang, Ming Yan, Ji Zhang, Chunfeng Yuan, Changsheng Xu, Weiming Hu, Fei Huang

NeurIPS 2025 PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts Yiming Wang, Pei Zhang, Jialong Tang, Hao-Ran Wei, Baosong Yang, Rui Wang, Chenshu Sun, Feitong Sun, Jiran Zhang, Junxuan Wu, Qiqian Cang, Yichang Zhang, Fei Huang, Junyang Lin, Fei Huang, Jingren Zhou

NeurIPS 2025 PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts Yiming Wang, Pei Zhang, Jialong Tang, Hao-Ran Wei, Baosong Yang, Rui Wang, Chenshu Sun, Feitong Sun, Jiran Zhang, Junxuan Wu, Qiqian Cang, Yichang Zhang, Fei Huang, Junyang Lin, Fei Huang, Jingren Zhou

NeurIPS 2025 Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding Yiming Wang, Pei Zhang, Siyuan Huang, Baosong Yang, Zhuosheng Zhang, Fei Huang, Rui Wang

ICLR 2025 StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-Time Hybrid Information Structurization Zhuoqun Li, Xuanang Chen, Haiyang Yu, Hongyu Lin, Yaojie Lu, Qiaoyu Tang, Fei Huang, Xianpei Han, Le Sun, Yongbin Li

CVPR 2025 SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization Hongrui Jia, Chaoya Jiang, Haiyang Xu, Wei Ye, Mengfan Dong, Ming Yan, Ji Zhang, Fei Huang, Shikun Zhang

ICML 2025 Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning Lang Feng, Weihao Tan, Zhiyi Lyu, Longtao Zheng, Haiyang Xu, Ming Yan, Fei Huang, Bo An

NeurIPS 2025 VLM-R³: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought Chaoya Jiang, Yongrui Heng, Wei Ye, Haiyang Xu, Ming Yan, Ji Zhang, Fei Huang, Shikun Zhang

NeurIPS 2025 VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning Qiuchen Wang, Ruixue Ding, Yu Zeng, Zehui Chen, Lin Chen, Shihang Wang, Pengjun Xie, Fei Huang, Feng Zhao

NeurIPS 2025 WebDancer: Towards Autonomous Information Seeking Agency Jialong Wu, Baixuan Li, Runnan Fang, Wenbiao Yin, Liwen Zhang, Zhenglin Wang, Zhengwei Tao, Ding-Chu Zhang, Zekun Xi, Xiangru Tang, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou

ICLRW 2025 WebWalker: Benchmarking LLMs in Web Traversal Jialong Wu, Wenbiao Yin, Yong Jiang, Zhenglin Wang, Zekun Xi, Runnan Fang, Linhai Zhang, Yulan He, Deyu Zhou, Pengjun Xie, Fei Huang

NeurIPS 2025 WritingBench: A Comprehensive Benchmark for Generative Writing Yuning Wu, Jiahao Mei, Ming Yan, Chenliang Li, Shaopeng Lai, Yuran Ren, Wang Zijia, Ji Zhang, Mengyue Wu, Qin Jin, Fei Huang

ICLR 2025 mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models Jiabo Ye, Haiyang Xu, Haowei Liu, Anwen Hu, Ming Yan, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou

TMLR 2024 A Survey on Out-of-Distribution Detection in NLP Hao Lang, Yinhe Zheng, Yixuan Li, Jian Sun, Fei Huang, Yongbin Li

NeurIPS 2024 Agent Planning with World Knowledge Model Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

AAAI 2024 EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-Commerce Yangning Li, Shirong Ma, Xiaobin Wang, Shen Huang, Chengyue Jiang, Haitao Zheng, Pengjun Xie, Fei Huang, Yong Jiang

NeurIPS 2024 EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations Jia Li, Ge Li, Xuanming Zhang, Yunfei Zhao, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li

IJCAI 2024 FactCHD: Benchmarking Fact-Conflicting Hallucination Detection Xiang Chen, Duanzheng Song, Honghao Gui, Chenxi Wang, Ningyu Zhang, Yong Jiang, Fei Huang, Chengfei Lyu, Dan Zhang, Huajun Chen

CVPR 2024 Hallucination Augmented Contrastive Learning for Multimodal Large Language Model Chaoya Jiang, Haiyang Xu, Mengfan Dong, Jiaxing Chen, Wei Ye, Ming Yan, Qinghao Ye, Ji Zhang, Fei Huang, Shikun Zhang

ICML 2024 Language Models Are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch Le Yu, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li

NeurIPS 2024 MaVEn: An Effective Multi-Granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model Chaoya Jiang, Hongrui Jia, Haiyang Xu, Wei Ye, Mengfan Dong, Ming Yan, Ji Zhang, Fei Huang, Shikun Zhang

NeurIPS 2024 Mobile-Agent-V2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration Junyang Wang, Haiyang Xu, Haitao Jia, Xi Zhang, Ming Yan, Weizhou Shen, Ji Zhang, Fei Huang, Jitao Sang

ICLRW 2024 Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception Junyang Wang, Haiyang Xu, Jiabo Ye, Ming Yan, Weizhou Shen, Ji Zhang, Fei Huang, Jitao Sang

CVPR 2024 OmniParser: A Unified Framework for Text Spotting Key Information Extraction and Table Recognition Jianqiang Wan, Sibo Song, Wenwen Yu, Yuliang Liu, Wenqing Cheng, Fei Huang, Xiang Bai, Cong Yao, Zhibo Yang

ECCV 2024 Platypus: A Generalized Specialist Model for Reading Text in Various Forms Peng Wang, Zhaohai Li, Jun Tang, Humen Zhong, Fei Huang, Zhibo Yang, Cong Yao

AAAI 2024 Preference Ranking Optimization for Human Alignment Feifan Song, Bowen Yu, Minghao Li, Haiyang Yu, Fei Huang, Yongbin Li, Houfeng Wang

NeurIPS 2024 Self-Retrieval: End-to-End Information Retrieval with One Large Language Model Qiaoyu Tang, Jiawei Chen, Zhuoqun Li, Bowen Yu, Yaojie Lu, Cheng Fu, Haiyang Yu, Hongyu Lin, Fei Huang, Ben He, Xianpei Han, Le Sun, Yongbin Li

AAAI 2024 SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang

ICML 2024 Training-Free Long-Context Scaling of Large Language Models Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong

ECCV 2024 Visual Text Generation in the Wild Yuanzhi Zhu, Jiawei Liu, Feiyu Gao, Wenyu Liu, Xinggang Wang, Peng Wang, Fei Huang, Cong Yao, Zhibo Yang

NeurIPS 2024 WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

NeurIPSW 2024 WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

CVPR 2024 mPLUG-Owl2: Revolutionizing Multi-Modal Large Language Model with Modality Collaboration Qinghao Ye, Haiyang Xu, Jiabo Ye, Ming Yan, Anwen Hu, Haowei Liu, Qi Qian, Ji Zhang, Fei Huang

AAAI 2023 Adversarial Self-Attention for Language Understanding Hongqiu Wu, Ruixue Ding, Hai Zhao, Pengjun Xie, Fei Huang, Min Zhang

ICCV 2023 BUS: Efficient and Effective Vision-Language Pre-Training with Bottom-up Patch Summarization. Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang

NeurIPS 2023 Can LLM Already Serve as a Database Interface? a BIg Bench for Large-Scale Database Grounded Text-to-SQLs Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Ruiying Geng, Nan Huo, Xuanhe Zhou, Ma Chenhao, Guoliang Li, Kevin Chang, Fei Huang, Reynold Cheng, Yongbin Li

NeurIPS 2023 Debiased and Denoised Entity Recognition from Distant Supervision Haobo Wang, Yiwen Dong, Ruixuan Xiao, Fei Huang, Gang Chen, Junbo Zhao

NeurIPS 2023 EMMA-X: An EM-like Multilingual Pre-Training Algorithm for Cross-Lingual Representation Learning Ping Guo, Xiangpeng Wei, Yue Hu, Baosong Yang, Dayiheng Liu, Fei Huang, Jun Xie

AAAI 2023 Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li

ICCV 2023 HiTeA: Hierarchical Temporal-Aware Video-Language Pre-Training Qinghao Ye, Guohai Xu, Ming Yan, Haiyang Xu, Qi Qian, Ji Zhang, Fei Huang

ICCV 2023 Learning Trajectory-Word Alignments for Video-Language Tasks Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang

IJCAI 2023 One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen

NeurIPS 2023 RRHF: Rank Responses to Align Language Models with Human Feedback Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Wei Wang, Songfang Huang, Fei Huang

NeurIPS 2023 SPA: A Graph Spectral Alignment Perspective for Domain Adaptation Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao

NeurIPS 2023 SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue Agents Shuzheng Si, Wentao Ma, Haoyu Gao, Yuchuan Wu, Ting-En Lin, Yinpei Dai, Hangyu Li, Rui Yan, Fei Huang, Yongbin Li

ICML 2023 mPLUG-2: A Modularized Multi-Modal Foundation Model Across Text, Image and Video Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou

NeurIPS 2022 Decoupling Knowledge from Memorization: Retrieval-Augmented Prompt Learning Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

ICLR 2022 Differentiable Prompt Makes Pre-Trained Language Models Better Few-Shot Learners Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen

ICML 2022 Directed Acyclic Transformer for Non-Autoregressive Machine Translation Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang

AAAI 2022 From Dense to Sparse: Contrastive Pruning for Better Pre-Trained Language Model Compression Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang

AAAI 2022 GALAXY: A Generative Pre-Trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li

AAAI 2022 Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract) Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen

IJCAI 2022 Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting Mingyang Chen, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, Huajun Chen

ICML 2022 On the Learning of Non-Autoregressive Transformers Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang

IJCAI 2021 Automatically Paraphrasing via Sentence Reconstruction and Round-Trip Translation Zilu Guo, Zhongqiang Huang, Kenny Q. Zhu, Guandan Chen, Kaibo Zhang, Boxing Chen, Fei Huang

AAAI 2021 Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation Ke Wang, Guandan Chen, Zhongqiang Huang, Xiaojun Wan, Fei Huang

AAAI 2021 Contrastive Triple Extraction with Generative Transformer Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen

IJCAI 2021 Document-Level Relation Extraction as Semantic Segmentation Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen

AAAI 2021 Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu

AAAI 2021 Knowledge-Aware Named Entity Recognition with Alleviating Heterogeneity Binling Nie, Ruixue Ding, Pengjun Xie, Fei Huang, Chen Qian, Luo Si

AAAI 2021 Nested Named Entity Recognition with Partially-Observed TreeCRFs Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang

ICLR 2021 Prototypical Representation Learning for Relation Extraction Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang

AAAI 2021 Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph Auto-Encoder Yajing Sun, Yong Shan, Chengguang Tang, Yue Hu, Yinpei Dai, Jing Yu, Jian Sun, Fei Huang, Luo Si

AAAI 2020 Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition Chuanqi Tan, Wei Qiu, Mosha Chen, Rui Wang, Fei Huang

AAAI 2020 Knowing What, How and Why: A near Complete Solution for Aspect-Based Sentiment Analysis Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si

IJCAI 2020 Learning with Noise: Improving Distantly-Supervised Fine-Grained Entity Typing via Automatic Relabeling Haoyu Zhang, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Fei Huang, Ji Wang

CVPR 2019 Unsupervised Multi-Modal Neural Machine Translation Yuanhang Su, Kai Fan, Nguyen Bach, C.-C. Jay Kuo, Fei Huang

AAAI 2005 Clustering and Classifying Person Names by Origin Fei Huang, Stephan Vogel, Alex Waibel