Fei Huang

According to our database, Fei Huang authored at least 383 papers between 2000 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing.

Hao Xiang, Tianyi Tang, Yang Su, Bowen Yu, An Yang, Fei Huang, Yichang Zhang, Yaojie Lu, Hongyu Lin, Xianpei Han, Jingren Zhou, Junyang Lin, Le Sun

CoRR, July, 2025

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization.

Zhengwei Tao, Jialong Wu, Wenbiao Yin, Junkai Zhang, Baixuan Li, Haiyang Shen, Kuan Li, Liwen Zhang, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou

CoRR, July, 2025

Sparse Autoencoder-guided Supervised Finetuning to Mitigate Unexpected Code-Switching in LLMs.

Boyi Deng, Yu Wan, Baosong Yang, Fei Huang, Wenjie Wang, Fuli Feng

CoRR, July, 2025

Translationese-index: Using Likelihood Ratios for Graded and Generalizable Measurement of Translationese.

Yikang Liu, Wanyang Zhang, Yiming Wang, Jialong Tang, Pei Zhang, Baosong Yang, Fei Huang, Rui Wang, Hai Hu

CoRR, July, 2025

L-CLIPScore: a Lightweight Embedding-based Captioning Metric for Evaluating and Training.

Li Li, Yingzhe Peng, Xu Yang, Ruoxi Cheng, Haiyang Xu, Ming Yan, Fei Huang

CoRR, July, 2025

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

CoRR, July, 2025

WebSailor: Navigating Super-human Reasoning for Web Agent.

Kuan Li, Zhongwang Zhang, Huifeng Yin, Liwen Zhang, Litu Ou, Jialong Wu, Wenbiao Yin, Baixuan Li, Zhengwei Tao, Xinyu Wang, Weizhou Shen, Junkai Zhang, Dingchu Zhang, Xixi Wu, Yong Jiang, Ming Yan, Pengjun Xie, Fei Huang, Jingren Zhou

CoRR, July, 2025

Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format.

Dingzirui Wang, Xuanliang Zhang, Rongyu Cao, Longxu Dou, Xianzhen Luo, Yingwei Ma, Qingfu Zhu, Wanxiang Che, Binhua Li, Fei Huang, Yongbin Li

CoRR, June, 2025

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models.

Jingyao Li, Hao Sun, Zile Qiao, Yong Jiang, Pengjun Xie, Fei Huang, Hong Xu, Jiaya Jia

CoRR, June, 2025

MeRF: Motivation-enhanced Reinforcement Finetuning for Large Reasoning Models.

Junjie Zhang, Guozheng Ma, Shunyu Liu, Haoyu Wang, Jiaxing Huang, Ting-En Lin, Fei Huang, Yongbin Li, Dacheng Tao

CoRR, June, 2025

EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models.

Tao Zou, Xinghua Zhang, Haiyang Yu, Minzheng Wang, Fei Huang, Yongbin Li

CoRR, June, 2025

Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning.

Xuanyu Lei, Chenliang Li, Yuning Wu, Kaiming Liu, Weizhou Shen, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

CoRR, June, 2025

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Yanzhao Zhang, Mingxin Li, Dingkun Long, Xin Zhang, Huan Lin, Baosong Yang, Pengjun Xie, An Yang, Dayiheng Liu, Junyang Lin, Fei Huang, Jingren Zhou

CoRR, June, 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-Hsuan Yang, Fei Huang, Xiaoshan Yang, Weiming Dong, Changsheng Xu

CoRR, June, 2025

ConText: Driving In-context Learning for Text Removal and Segmentation.

Fei Zhang, Pei Zhang, Baosong Yang, Fei Huang, Yanfeng Wang, Ya Zhang

CoRR, June, 2025

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence.

Guiyang Hou, Xing Gao, Yuchuan Wu, Xiang Huang, Wenqi Zhang, Zhe Zheng, Yongliang Shen, Jialu Du, Fei Huang, Yongbin Li, Weiming Lu

CoRR, May, 2025

ChARM: Character-based Act-adaptive Reward Modeling for Advanced Role-Playing Language Agents.

Feiteng Fang, Ting-En Lin, Yuchuan Wu, Xiong Liu, Xiang Huang, Dingwei Chen, Jing Ye, Haonan Zhang, Liang Zhu, Hamid Alinejad-Rokny, Min Yang, Fei Huang, Yongbin Li

CoRR, May, 2025

Socratic-PRMBench: Benchmarking Process Reward Models with Systematic Reasoning Patterns.

Xiang Li, Haiyang Yu, Xinghua Zhang, Ziyang Huang, Shizhu He, Kang Liu, Jun Zhao, Fei Huang, Yongbin Li

CoRR, May, 2025

WebDancer: Towards Autonomous Information Seeking Agency.

Jialong Wu, Baixuan Li, Runnan Fang, Wenbiao Yin, Liwen Zhang, Zhengwei Tao, Dingchu Zhang, Zekun Xi, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou

CoRR, May, 2025

EvolveSearch: An Iterative Self-Evolving Search Agent.

Dingchu Zhang, Yida Zhao, Jialong Wu, Baixuan Li, Wenbiao Yin, Liwen Zhang, Yong Jiang, Yufeng Li, Kewei Tu, Pengjun Xie, Fei Huang

CoRR, May, 2025

Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration.

Zijun Liu, Zhennan Wan, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

CoRR, May, 2025

MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding.

Fuwen Luo, Shengfeng Lou, Chi Chen, Ziyue Wang, Chenliang Li, Weizhou Shen, Jiyue Guo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

CoRR, May, 2025

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability.

Weiqi Wu, Xin Guan, Shen Huang, Yong Jiang, Pengjun Xie, Fei Huang, Jiuxin Cao, Hai Zhao, Jingren Zhou

CoRR, May, 2025

QwenLong-CPRS: Towards ∞-LLMs with Dynamic Context Optimization.

Weizhou Shen, Chenliang Li, Fanqi Wan, Shengyi Liao, Shaopeng Lai, Bo Zhang, Yingcheng Shi, Yuning Wu, Gang Fu, Zhansheng Li, Bin Yang, Ji Zhang, Fei Huang, Jingren Zhou, Ming Yan

CoRR, May, 2025

QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning.

Fanqi Wan, Weizhou Shen, Shengyi Liao, Yingcheng Shi, Chenliang Li, Ziyi Yang, Ji Zhang, Fei Huang, Jingren Zhou, Ming Yan

CoRR, May, 2025

VLM-R³: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought.

Chaoya Jiang, Yongrui Heng, Wei Ye, Han Yang, Haiyang Xu, Ming Yan, Ji Zhang, Fei Huang, Shikun Zhang

CoRR, May, 2025

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

CoRR, May, 2025

Qwen3 Technical Report.

An Yang, Anfeng Li, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Gao, Chengen Huang, Chenxu Lv, Chujie Zheng, Dayiheng Liu, Fan Zhou, Fei Huang, Feng Hu, Hao Ge, Haoran Wei, Huan Lin, Jialong Tang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jian Yang, Jiaxi Yang, Jingren Zhou, Junyang Lin, Kai Dang, Keqin Bao, Kexin Yang, Le Yu, Lianghao Deng, Mei Li, Mingfeng Xue, Mingze Li, Pei Zhang, Peng Wang, Qin Zhu, Rui Men, Ruize Gao, Shixuan Liu, Shuang Luo, Tianhao Li, Tianyi Tang, Wenbiao Yin, Xingzhang Ren, Xinyu Wang, Xinyu Zhang, Xuancheng Ren, Yang Fan, Yang Su, Yichang Zhang, Yinger Zhang, Yu Wan, Yuqiong Liu, Zekun Wang, Zeyu Cui, Zhenru Zhang, Zhipeng Zhou, Zihan Qiu

CoRR, May, 2025

ZeroSearch: Incentivize the Search Capability of LLMs without Searching.

Hao Sun, Zile Qiao, Jiayan Guo, Xuanbo Fan, Yingyan Hou, Yong Jiang, Pengjun Xie, Yan Zhang, Fei Huang, Jingren Zhou

CoRR, May, 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

CoRR, May, 2025

Adaptive Thinking via Mode Policy Optimization for Social Language Agents.

Minzheng Wang, Yongbin Li, Haobo Wang, Xinghua Zhang, Nan Xu, Bingli Wu, Fei Huang, Haiyang Yu, Wenji Mao

CoRR, May, 2025

PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts.

Yiming Wang, Pei Zhang, Jialong Tang, Haoran 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

CoRR, April, 2025

SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement.

Runnan Fang, Xiaobin Wang, Yuan Liang, Shuofei Qiao, Jialong Wu, Zekun Xi, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

CoRR, April, 2025

Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute.

Yingwei Ma, Binhua Li, Yihong Dong, Xue Jiang, Rongyu Cao, Jue Chen, Fei Huang, Yongbin Li

CoRR, March, 2025

A Survey of Direct Preference Optimization.

Shunyu Liu, Wenkai Fang, Zetian Hu, Junjie Zhang, Yang Zhou, Kongcheng Zhang, Rongcheng Tu, Ting-En Lin, Fei Huang, Mingli Song, Yongbin Li, Dacheng Tao

CoRR, March, 2025

WritingBench: A Comprehensive Benchmark for Generative Writing.

Yuning Wu, Jiahao Mei, Ming Yan, Chenliang Li, Shaopeng Lai, Yuran Ren, Zijia Wang, Ji Zhang, Mengyue Wu, Qin Jin, Fei Huang

CoRR, March, 2025

AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs.

Zihao Zeng, Chubo Liu, Xin He, Juan Hu, Yong Jiang, Fei Huang, Kenli Li, Wei Yang Bryan Lim

CoRR, March, 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

CoRR, March, 2025

Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference.

Zhuo Chen, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinyu Geng, Pengjun Xie, Fei Huang, Kewei Tu

CoRR, February, 2025

Mobile-Agent-V: Learning Mobile Device Operation Through Video-Guided Multi-Agent Collaboration.

Junyang Wang, Haiyang Xu, Xi Zhang, Ming Yan, Ji Zhang, Fei Huang, Jitao Sang

CoRR, February, 2025

Enhancing Language Multi-Agent Learning with Multi-Agent Credit Re-Assignment for Interactive Environment Generalization.

Zhitao He, Zijun Liu, Peng Li, May Fung, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

CoRR, February, 2025

PC-Agent: A Hierarchical Multi-Agent Collaboration 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

CoRR, February, 2025

EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning.

Xiaoqian Liu, Ke Wang, Yongbin Li, Yuchuan Wu, Wentao Ma, Aobo Kong, Fei Huang, Jianbin Jiao, Jun Zhang

CoRR, February, 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

CoRR, February, 2025

Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks.

Zhenhailong Wang, Haiyang Xu, Junyang Wang, Xi Zhang, Ming Yan, Ji Zhang, Fei Huang, Heng Ji

CoRR, January, 2025

OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking.

Zekun Xi, Wenbiao Yin, Jizhan Fang, Jialong Wu, Runnan Fang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

CoRR, January, 2025

Unsupervised Query Routing for Retrieval Augmented Generation.

Feiteng Mu, Liwen Zhang, Yong Jiang, Wenjie Li, Zhen Zhang, Pengjun Xie, Fei Huang

CoRR, January, 2025

OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech Synthesis.

Run Luo, Ting-En Lin, Haonan Zhang, Yuchuan Wu, Xiong Liu, Min Yang, Yongbin Li, Longze Chen, Jiaming Li, Lei Zhang, Yangyi Chen, Hamid Alinejad-Rokny, Fei Huang

CoRR, January, 2025

Diverse AI Feedback For Large Language Model Alignment.

Tianshu Yu, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, Yongbin Li

Trans. Assoc. Comput. Linguistics, 2025

LORE++: Logical location regression network for table structure recognition with pre-training.

Rujiao Long, Hangdi Xing, Zhibo Yang, Qi Zheng, Zhi Yu, Fei Huang, Cong Yao

Pattern Recognit., 2025

TranSeis: A high precision multitask seismic waveform detector.

Yuxin Zhou, Huai Zhang, Shi Chen, Zheng Yuan, Chuanqi Tan, Fei Huang, Yicun Guo, Yaolin Shi

Comput. Geosci., 2025

Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Exploration.

Yingwei Ma, Qingping Yang, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization.

Weiqi Wu, Shen Huang, Yong Jiang, Pengjun Xie, Fei Huang, Hai Zhao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling.

Zile Qiao, Wei Ye, Yong Jiang, Tong Mo, Pengjun Xie, Weiping Li, Fei Huang, Shikun Zhang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Benchmarking Agentic Workflow Generation.

Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark.

Zhikun Xu, Yinghui Li, Ruixue Ding, Xinyu Wang, Boli Chen, Yong Jiang, Haitao Zheng, Wenlian Lu, Pengjun Xie, Fei Huang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator.

Zhihao Fan, Lai Wei, Jialong Tang, Wei Chen, Siyuan Wang, Zhongyu Wei, Fei Huang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Supervised Optimism Correction: Be Confident When LLMs Are Sure.

Junjie Zhang, Rushuai Yang, Shunyu Liu, Ting-En Lin, Fei Huang, Yi Chen, Yongbin Li, Dacheng Tao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization.

Xinghua Zhang, Haiyang Yu, Cheng Fu, Fei Huang, Yongbin Li

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction.

Haonan Zhang, Run Luo, Xiong Liu, Yuchuan Wu, Ting-En Lin, Pengpeng Zeng, Qiang Qu, Feiteng Fang, Min Yang, Lianli Gao, Jingkuan Song, Fei Huang, Yongbin Li

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration.

Yunkun Wang, Yue Zhang, Zhen Qin, Chen Zhi, Binhua Li, Fei Huang, Yongbin Li, Shuiguang Deng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check.

Ziheng Qiao, Houquan Zhou, Yumeng Liu, Zhenghua Li, Min Zhang, Bo Zhang, Chen Li, Ji Zhang, Fei Huang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct.

Run Luo, Haonan Zhang, Longze Chen, Ting-En Lin, Xiong Liu, Yuchuan Wu, Min Yang, Yongbin Li, Minzheng Wang, Pengpeng Zeng, Lianli Gao, Heng Tao Shen, Yunshui Li, Hamid Alinejad-Rokny, Xiaobo Xia, Jingkuan Song, Fei Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning.

Xiaoqian Liu, Ke Wang, Yongbin Li, Yuchuan Wu, Wentao Ma, Aobo Kong, Fei Huang, Jianbin Jiao, Junge Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking.

Zhuoqun Li, Haiyang Yu, Xuanang Chen, Hongyu Lin, Yaojie Lu, Fei Huang, Xianpei Han, Yongbin Li, Le Sun

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SDPO: Segment-Level Direct Preference Optimization for Social Agents.

Aobo Kong, Wentao Ma, Shiwan Zhao, Yongbin Li, Yuchuan Wu, Ke Wang, Xiaoqian Liu, Qicheng Li, Yong Qin, Fei Huang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Reverse Preference Optimization for Complex Instruction Following.

Xiang Huang, Ting-En Lin, Feiteng Fang, Yuchuan Wu, Hangyu Li, Yuzhong Qu, Fei Huang, Yongbin Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding.

Anwen Hu, Haiyang Xu, Liang Zhang, Jiabo Ye, Ming Yan, Ji Zhang, Qin Jin, Fei Huang, Jingren Zhou

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling.

Minzheng Wang, Xinghua Zhang, Kun Chen, Nan Xu, Haiyang Yu, Fei Huang, Wenji Mao, Yongbin Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Debate Helps Weak-to-Strong Generalization.

Hao Lang, Fei Huang, Yongbin Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A Unified Conditional Diffusion Framework for Dual Protein Targets-Based Bioactive Molecule Generation.

Lei Huang, Zheng Yuan, Huihui Yan, Rong Sheng, Linjing Liu, Fuzhou Wang, Weidun Xie, Nanjun Chen, Fei Huang, Songfang Huang, Ka-Chun Wong, Yaoyun Zhang

IEEE Trans. Artif. Intell., September, 2024

Multilingual named Entity Extraction and Translation from Text and Speech

Fei Huang

PhD thesis, 2024

A Survey on Out-of-Distribution Detection in NLP.

Hao Lang, Yinhe Zheng, Yixuan Li, Jian Sun, Fei Huang, Yongbin Li

Trans. Mach. Learn. Res., 2024

Sequence Labeling as Non-Autoregressive Dual-Query Set Generation.

Xiang Chen, Lei Li, Yuqi Zhu, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Ningyu Zhang, Huajun Chen

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Unifying Structured Data as Graph for Data-to-Text Pre-Training.

Shujie Li, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan, Wanwei He, Shao Yuan, Can Ma, Fei Huang, Yongbin Li

Trans. Assoc. Comput. Linguistics, 2024

STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading.

Yilei Zhao, Wentao Zhang, Tingran Yang, Yong Jiang, Fei Huang, Wei Yang Bryan Lim

CoRR, 2024

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues.

Yalan Lin, Yingwei Ma, Rongyu Cao, Binhua Li, Fei Huang, Xiaodong Gu, Yongbin Li

CoRR, 2024

P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs.

Yidan Zhang, Boyi Deng, Yu Wan, Baosong Yang, Haoran Wei, Fei Huang, Bowen Yu, Junyang Lin, Fei Huang, Jingren Zhou

CoRR, 2024

Exploring Knowledge Boundaries in Large Language Models for Retrieval Judgment.

Zhen Zhang, Xinyu Wang, Yong Jiang, Zhuo Chen, Feiteng Mu, Mengting Hu, Pengjun Xie, Fei Huang

CoRR, 2024

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, Pengjun Xie, Philip S. Yu, Fei Huang, Jingren Zhou

CoRR, 2024

Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement.

Yingwei Ma, Rongyu Cao, Yongchang Cao, Yue Zhang, Jue Chen, Yibo Liu, Yuchen Liu, Binhua Li, Fei Huang, Yongbin Li

CoRR, 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

CoRR, 2024

An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms.

Ziyang Chen, Xiaobin Wang, Yong Jiang, Jinzhi Liao, Pengjun Xie, Fei Huang, Xiang Zhao

CoRR, 2024

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

CoRR, 2024

In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks.

Dingzirui Wang, Xuangliang Zhang, Qiguang Chen, Longxu Dou, Xiao Xu, Rongyu Cao, Yingwei Ma, Qingfu Zhu, Wanxiang Che, Binhua Li, Fei Huang, Yongbin Li

CoRR, 2024

Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion?

Zhenyu Pan, Rongyu Cao, Yongchang Cao, Yingwei Ma, Binhua Li, Fei Huang, Han Liu, Yongbin Li

CoRR, 2024

The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends.

Xinghua Zhang, Haiyang Yu, Yongbin Li, Minzheng Wang, Longze Chen, Fei Huang

CoRR, 2024

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct.

Run Luo, Haonan Zhang, Longze Chen, Ting-En Lin, Xiong Liu, Yuchuan Wu, Min Yang, Minzheng Wang, Pengpeng Zeng, Lianli Gao, Heng Tao Shen, Yunshui Li, Xiaobo Xia, Fei Huang, Jingkuan Song, Yongbin Li

CoRR, 2024

Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement.

Le Yu, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li

CoRR, 2024

ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions.

Jingheng Ye, Yong Jiang, Xiaobin Wang, Yinghui Li, Yangning Li, Hai-Tao Zheng, Pengjun Xie, Fei Huang

CoRR, 2024

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.

Minzheng Wang, Longze Chen, Cheng Fu, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li

CoRR, 2024

Adaptive Selection for Homogeneous Tools: An Instantiation in the RAG Scenario.

Feiteng Mu, Yong Jiang, Liwen Zhang, Chu Liu, Wenjie Li, Pengjun Xie, Fei Huang

CoRR, 2024

How to Understand Whole Software Repository?

Yingwei Ma, Qingping Yang, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li

CoRR, 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.

Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li

CoRR, 2024

TinyChart: Efficient Chart Understanding with Visual Token Merging and Program-of-Thoughts Learning.

Liang Zhang, Anwen Hu, Haiyang Xu, Ming Yan, Yichen Xu, Qin Jin, Ji Zhang, Fei Huang

CoRR, 2024

A Survey on Self-Evolution of Large Language Models.

Zhengwei Tao, Ting-En Lin, Xiancai Chen, Hangyu Li, Yuchuan Wu, Yongbin Li, Zhi Jin, Fei Huang, Dacheng Tao, Jingren Zhou

CoRR, 2024

Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning.

Xiao Li, Yong Jiang, Shen Huang, Pengjun Xie, Gong Cheng, Fei Huang

CoRR, 2024

ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy.

Zonghan Yang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

CoRR, 2024

RoleInteract: Evaluating the Social Interaction of Role-Playing Agents.

Hongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Xing Gao, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang, Fei Huang, Jingren Zhou

CoRR, 2024

mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding.

Anwen Hu, Haiyang Xu, Jiabo Ye, Ming Yan, Liang Zhang, Bo Zhang, Chen Li, Ji Zhang, Qin Jin, Fei Huang, Jingren Zhou

CoRR, 2024

Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection.

Wei Ye, Chaoya Jiang, Haiyang Xu, Chenhao Ye, Chenliang Li, Ming Yan, Shikun Zhang, Songhang Huang, Fei Huang

CoRR, 2024

Improving Cross-lingual Representation for Semantic Retrieval with Code-switching.

Mieradilijiang Maimaiti, Yuanhang Zheng, Ji Zhang, Fei Huang, Yue Zhang, Wenpei Luo, Kaiyu Huang

CoRR, 2024

Self-Retrieval: Building an Information Retrieval System with One Large Language Model.

Qiaoyu Tang, Jiawei Chen, Bowen Yu, Yaojie Lu, Cheng Fu, Haiyang Yu, Hongyu Lin, Fei Huang, Ben He, Xianpei Han, Le Sun, Yongbin Li

CoRR, 2024

Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendation.

Jianyu Guan, Zongming Yin, Tianyi Zhang, Leihui Chen, Yin Zhang, Fei Huang, Jufeng Chen, Shuguang Han

CoRR, 2024

Meta Ranking: Less Capable Language Models are Capable for Single Response Judgement.

Zijun Liu, Boqun Kou, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

CoRR, 2024

AI Hospital: Interactive Evaluation and Collaboration of LLMs as Intern Doctors for Clinical Diagnosis.

Zhihao Fan, Jialong Tang, Wei Chen, Siyuan Wang, Zhongyu Wei, Jun Xi, Fei Huang, Jingren Zhou

CoRR, 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

CoRR, 2024

A Comprehensive Study of Knowledge Editing for Large Language Models.

Ningyu Zhang, Yunzhi Yao, Bozhong Tian, Peng Wang, Shumin Deng, Mengru Wang, Zekun Xi, Shengyu Mao, Jintian Zhang, Yuansheng Ni, Siyuan Cheng, Ziwen Xu, Xin Xu, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen

CoRR, 2024

Editing Personality For Large Language Models.

Shengyu Mao, Xiaohan Wang, Mengru Wang, Yong Jiang, Pengjun Xie, Fei Huang, Ningyu Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning.

Xiao Li, Yong Jiang, Shen Huang, Pengjun Xie, Gong Cheng, Fei Huang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Fine-Tuning Language Models with Reward Learning on Policy.

Hao Lang, Fei Huang, Yongbin Li

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model.

Anwen Hu, Yaya Shi, Haiyang Xu, Jiabo Ye, Qinghao Ye, Ming Yan, Chenliang Li, Qi Qian, Ji Zhang, Fei Huang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DialCLIP: Empowering Clip As Multi-Modal Dialog Retriever.

Zhichao Yin, Binyuan Hui, Min Yang, Fei Huang, Yongbin Li

Proceedings of the IEEE International Conference on Acoustics, 2024

How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States.

Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Yongbin Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval.

Xin Zhang, Yanzhao Zhang, Dingkun Long, Wen Xie, Ziqi Dai, Jialong Tang, Huan Lin, Baosong Yang, Pengjun Xie, Fei Huang, Meishan Zhang, Wenjie Li, Min Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging.

Liang Zhang, Anwen Hu, Haiyang Xu, Ming Yan, Yichen Xu, Qin Jin, Ji Zhang, Fei Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents.

Ruixuan Xiao, Wentao Ma, Ke Wang, Yuchuan Wu, Junbo Zhao, Haobo Wang, Fei Huang, Yongbin Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Knowledge Mechanisms in Large Language Models: A Survey and Perspective.

Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.

Minzheng Wang, Longze Chen, Fu Cheng, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Retrieved In-Context Principles from Previous Mistakes.

Hao Sun, Yong Jiang, Bo Wang, Yingyan Hou, Yan Zhang, Pengjun Xie, Fei Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Small LLMs Are Weak Tool Learners: A Multi-LLM Agent.

Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario.

Feiteng Mu, Yong Jiang, Liwen Zhang, Chu Liu, Wenjie Li, Pengjun Xie, Fei Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

RaFe: Ranking Feedback Improves Query Rewriting for RAG.

Shengyu Mao, Yong Jiang, Boli Chen, Xiao Li, Peng Wang, Xinyu Wang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MIBench: Evaluating Multimodal Large Language Models over Multiple Images.

Haowei Liu, Xi Zhang, Haiyang Xu, Yaya Shi, Chaoya Jiang, Ming Yan, Ji Zhang, Fei Huang, Chunfeng Yuan, Bing Li, Weiming Hu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding.

Anwen Hu, Haiyang Xu, Jiabo Ye, Ming Yan, Liang Zhang, Bo Zhang, Ji Zhang, Qin Jin, Fei Huang, Jingren Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Improving Factual Consistency of News Summarization by Contrastive Preference Optimization.

Huawen Feng, Yan Fan, Xiong Liu, Ting-En Lin, Zekun Yao, Yuchuan Wu, Fei Huang, Yongbin Li, Qianli Ma

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing.

Kang Chen, Qingheng Zhang, Chengbao Lian, Yixin Ji, Xuwei Liu, Shuguang Han, Guoqiang Wu, Fei Huang, Jufeng Chen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models.

Houquan Zhou, Zhenghua Li, Bo Zhang, Chen Li, Shaopeng Lai, Ji Zhang, Fei Huang, Min Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking.

Yong Cao, Ruixue Ding, Boli Chen, Xianzhi Li, Min Chen, Daniel Hershcovich, Pengjun Xie, Fei Huang

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

mPLUG-OwI2: 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment.

Yingxiu Zhao, Bowen Yu, Binyuan Hui, Haiyang Yu, Minghao Li, Fei Huang, Nevin L. Zhang, Yongbin Li

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval.

Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training.

Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts.

Hao Lang, Yinhe Zheng, Binyuan Hui, Fei Huang, Yongbin Li

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models.

Haoyu Gao, Ting-En Lin, Hangyu Li, Min Yang, Yuchuan Wu, Wentao Ma, Fei Huang, Yongbin Li

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment.

Feifan Song, Bowen Yu, Hao Lang, Haiyang Yu, Fei Huang, Houfeng Wang, Yongbin Li

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

GeoGLUE: A Chinese GeoGraphic Language Understanding Evaluation Benchmark.

Dongyang Li, Ruixue Ding, Qiang Zhang, Zheng Li, Boli Chen, Pengjun Xie, Yao Xu, Xin Li, Ning Guo, Fei Huang, Xiaofeng He

Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

Budget-Constrained Tool Learning with Planning.

Yuanhang Zheng, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Iterative Forward Tuning Boosts In-Context Learning in Language Models.

Jiaxi Yang, Binyuan Hui, Min Yang, Bailin Wang, Bowen Li, Binhua Li, Fei Huang, Yongbin Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion.

Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs.

An Liu, Zonghan Yang, Zhenhe Zhang, Qingyuan Hu, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

One-Shot Learning as Instruction Data Prospector for Large Language Models.

Yunshui Li, Binyuan Hui, Xiaobo Xia, Jiaxi Yang, Min Yang, Lei Zhang, Shuzheng Si, Ling-Hao Chen, Junhao Liu, Tongliang Liu, Fei Huang, Yongbin Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.

Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li, Bin Gu, Mengfei Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use.

Yuhan Chen, Ang Lv, Ting-En Lin, Changyu Chen, Yuchuan Wu, Fei Huang, Yongbin Li, Rui Yan

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

SocialBench: Sociality Evaluation of Role-Playing Conversational Agents.

Hongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Gao Xing, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang, Fei Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts.

Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Model Composition for Multimodal Large Language Models.

Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Preference Ranking Optimization for Human Alignment.

Feifan Song, Bowen Yu, Minghao Li, Haiyang Yu, Fei Huang, Yongbin Li, Houfeng Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Schema dependency-enhanced curriculum pre-training for table semantic parsing.

Bowen Qin, Binyuan Hui, Lihan Wang, Min Yang, Binhua Li, Fei Huang, Luo Si, Qingshan Jiang, Yongbin Li

Knowl. Based Syst., February, 2023

Achieving Human Parity on Visual Question Answering.

Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Xianzhe Xu, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin

ACM Trans. Inf. Syst., 2023

LOGEN: Few-Shot Logical Knowledge-Conditioned Text Generation With Self-Training.

Shumin Deng, Jiacheng Yang, Hongbin Ye, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen, Ningyu Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2023

EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data.

Shirong Ma, Shen Huang, Shulin Huang, Xiaobin Wang, Yangning Li, Hai-Tao Zheng, Pengjun Xie, Fei Huang, Yong Jiang

CoRR, 2023

One Shot Learning as Instruction Data Prospector for Large Language Models.

Yunshui Li, Binyuan Hui, Xiaobo Xia, Jiaxi Yang, Min Yang, Lei Zhang, Shuzheng Si, Junhao Liu, Tongliang Liu, Fei Huang, Yongbin Li

CoRR, 2023

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, Jingren Zhou

CoRR, 2023

Improving Factual Consistency of Text Summarization by Adversarially Decoupling Comprehension and Embellishment Abilities of LLMs.

Huawen Feng, Yan Fan, Xiong Liu, Ting-En Lin, Zekun Yao, Yuchuan Wu, Fei Huang, Yongbin Li, Qianli Ma

CoRR, 2023

FactCHD: Benchmarking Fact-Conflicting Hallucination Detection.

Xiang Chen, Duanzheng Song, Honghao Gui, Chengxi Wang, Ningyu Zhang, Jiang Yong, Fei Huang, Chengfei Lv, Dan Zhang, Huajun Chen

CoRR, 2023

Constructive Large Language Models Alignment with Diverse Feedback.

Tianshu Yu, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, Yongbin Li

CoRR, 2023

Editing Personality for LLMs.

Shengyu Mao, Ningyu Zhang, Xiaohan Wang, Mengru Wang, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

CoRR, 2023

VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue.

Yunshui Li, Binyuan Hui, Zhaochao Yin, Wanwei He, Run Luo, Yuxing Long, Min Yang, Fei Huang, Yongbin Li

CoRR, 2023

ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models.

Chenliang Li, Hehong Chen, Ming Yan, Weizhou Shen, Haiyang Xu, Zhikai Wu, Zhicheng Zhang, Wenmeng Zhou, Yingda Chen, Chen Cheng, Hongzhu Shi, Ji Zhang, Fei Huang, Jingren Zhou

CoRR, 2023

A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment.

Yingxiu Zhao, Bowen Yu, Binyuan Hui, Haiyang Yu, Fei Huang, Yongbin Li, Nevin L. Zhang

CoRR, 2023

Wider and Deeper LLM Networks are Fairer LLM Evaluators.

Xinghua Zhang, Bowen Yu, Haiyang Yu, Yangyu Lv, Tingwen Liu, Fei Huang, Hongbo Xu, Yongbin Li

CoRR, 2023

CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility.

Guohai Xu, Jiayi Liu, Ming Yan, Haotian Xu, Jinghui Si, Zhuoran Zhou, Peng Yi, Xing Gao, Jitao Sang, Rong Zhang, Ji Zhang, Chao Peng, Fei Huang, Jingren Zhou

CoRR, 2023

PolyLM: An Open Source Polyglot Large Language Model.

Xiangpeng Wei, Haoran Wei, Huan Lin, Tianhao Li, Pei Zhang, Xingzhang Ren, Mei Li, Yu Wan, Zhiwei Cao, Binbin Xie, Tianxiang Hu, Shangjie Li, Binyuan Hui, Bowen Yu, Dayiheng Liu, Baosong Yang, Fei Huang, Jun Xie

CoRR, 2023

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding.

Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Yuhao Dan, Chenlin Zhao, Guohai Xu, Chenliang Li, Junfeng Tian, Qian Qi, Ji Zhang, Fei Huang

CoRR, 2023

Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model.

Jiong Cai, Yong Jiang, Yue Zhang, Chengyue Jiang, Ke Yu, Jianhui Ji, Rong Xiao, Haihong Tang, Tao Wang, Zhongqiang Huang, Pengjun Xie, Fei Huang, Kewei Tu

CoRR, 2023

DiffDTM: A conditional structure-free framework for bioactive molecules generation targeted for dual proteins.

Lei Huang, Zheng Yuan, Huihui Yan, Rong Sheng, Linjing Liu, Fuzhou Wang, Weidun Xie, Nanjun Chen, Fei Huang, Songfang Huang, Ka-Chun Wong, Yaoyun Zhang

CoRR, 2023

Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking.

Yinghui Li, Yong Jiang, Shen Huang, Xingyu Lu, Yangning Li, Pengjun Xie, Fei Huang, Hai-Tao Zheng

CoRR, 2023

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks.

Haiyang Xu, Qinghao Ye, Xuan Wu, Ming Yan, Yuan Miao, Jiabo Ye, Guohai Xu, Anwen Hu, Yaya Shi, Guangwei Xu, Chenliang Li, Qi Qian, Maofei Que, Ji Zhang, Xiao Zeng, Fei Huang

CoRR, 2023

SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue in Multiple Domains.

Shuzheng Si, Wentao Ma, Yuchuan Wu, Yinpei Dai, Haoyu Gao, Ting-En Lin, Hangyu Li, Rui Yan, Fei Huang, Yongbin Li

CoRR, 2023

Iterative Forward Tuning Boosts In-context Learning in Language Models.

Jiaxi Yang, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li

CoRR, 2023

Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment.

Tianshu Yu, Haoyu Gao, Ting-En Lin, Min Yang, Yuchuan Wu, Wentao Ma, Chao Wang, Fei Huang, Yongbin Li

CoRR, 2023

GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark.

Dongyang Li, Ruixue Ding, Qiang Zhang, Zheng Li, Boli Chen, Pengjun Xie, Yao Xu, Xin Li, Ning Guo, Fei Huang, Xiaofeng He

CoRR, 2023

Vision Langauge Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation.

Chaoya Jiang, Wei Ye, Haiyang Xu, Ming Yan, Shikun Zhang, Jie Zhang, Fei Huang

CoRR, 2023

DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition.

Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang, Yong Jiang

CoRR, 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, Binhua Li, Jiaxi Yang, Bowen Li, Bailin Wang, Bowen Qin, Rongyu Cao, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li

CoRR, 2023

Unsupervised Dialogue Topic Segmentation with Topic-aware Utterance Representation.

Haoyu Gao, Rui Wang, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, Yongbin Li

CoRR, 2023

Transforming Visual Scene Graphs to Image Captions.

Xu Yang, Jiawei Peng, Zihua Wang, Haiyang Xu, Qinghao Ye, Chenliang Li, Ming Yan, Fei Huang, Zhangzikang Li, Yu Zhang

CoRR, 2023

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

Qinghao Ye, Haiyang Xu, Guohai Xu, Jiabo Ye, Ming Yan, Yiyang Zhou, Junyang Wang, Anwen Hu, Pengcheng Shi, Yaya Shi, Chenliang Li, Yuanhong Xu, Hehong Chen, Junfeng Tian, Qian Qi, Ji Zhang, Fei Huang

CoRR, 2023

API-Bank: A Benchmark for Tool-Augmented LLMs.

Minghao Li, Feifan Song, Bowen Yu, Haiyang Yu, Zhoujun Li, Fei Huang, Yongbin Li

CoRR, 2023

VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning.

Zhenru Zhang, Chuanqi Tan, Songfang Huang, Fei Huang

CoRR, 2023

ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human.

Junfeng Tian, Hehong Chen, Guohai Xu, Ming Yan, Xing Gao, Jianhai Zhang, Chenliang Li, Jiayi Liu, Wenshen Xu, Haiyang Xu, Qi Qian, Wei Wang, Qinghao Ye, Jiejing Zhang, Ji Zhang, Fei Huang, Jingren Zhou

CoRR, 2023

RRHF: Rank Responses to Align Language Models with Human Feedback without tears.

Zheng Yuan, Hongyi Yuan, Chuanqi Tan, Wei Wang, Songfang Huang, Fei Huang

CoRR, 2023

Revisiting Automatic Question Summarization Evaluation in the Biomedical Domain.

Hongyi Yuan, Yaoyun Zhang, Fei Huang, Songfang Huang

CoRR, 2023

RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training.

Zheng Yuan, Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Hongyi Yuan, Fei Huang, Songfang Huang

CoRR, 2023

Molecular Geometry-aware Transformer for accurate 3D Atomic System modeling.

Zheng Yuan, Yaoyun Zhang, Chuanqi Tan, Wei Wang, Fei Huang, Songfang Huang

CoRR, 2023

Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning.

Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li

CoRR, 2023

A Multi-Modal Geographic Pre-Training Method.

Ruixue Ding, Boli Chen, Pengjun Xie, Fei Huang, Xin Li, Qiang Zhang, Yao Xu

CoRR, 2023

Adaptively Clustering Neighbor Elements for Image Captioning.

Zihua Wang, Xu Yang, Haiyang Xu, Hanwang Zhang, Chenliang Li, Songfang Huang, Fei Huang, Yu Zhang

CoRR, 2023

Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning.

Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning.

Haoyu Gao, Rui Wang, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, Yongbin Li

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MGeo: Multi-Modal Geographic Language Model Pre-Training.

Ruixue Ding, Boli Chen, Pengjun Xie, Fei Huang, Xin Li, Qiang Zhang, Yao Xu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition.

Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base.

Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2023

SPA: A Graph Spectral Alignment Perspective for Domain Adaptation.

Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Debiased and Denoised Entity Recognition from Distant Supervision.

Haobo Wang, Yiwen Dong, Ruixuan Xiao, Fei Huang, Gang Chen, Junbo Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Chenhao Ma, Guoliang Li, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

mPLUG-Octopus: The Versatile Assistant Empowered by A Modularized End-to-End Multimodal LLM.

Qinghao Ye, Haiyang Xu, Ming Yan, Chenlin Zhao, Junyang Wang, Xiaoshan Yang, Ji Zhang, Fei Huang, Jitao Sang, Changsheng Xu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learning Semantics-Grounded Vocabulary Representation for Video-Text Retrieval.

Yaya Shi, Haowei Liu, Haiyang Xu, Zongyang Ma, Qinghao Ye, Anwen Hu, Ming Yan, Ji Zhang, Fei Huang, Chunfeng Yuan, Bing Li, Weiming Hu, Zheng-Jun Zha

Proceedings of the 31st ACM International Conference on Multimedia, 2023

COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text Alignment.

Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Ji Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training.

Zheng Yuan, Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Hongyi Yuan, Fei Huang, Songfang Huang

Proceedings of the 31st ACM International Conference on Multimedia, 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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 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

Proceedings of the International Conference on Machine Learning, 2023

ICDAR 2023 Competition on Born Digital Video Text Question Answering.

Zhibo Yang, Xiaoge Song, Sibo Song, Tong Lu, Xiang Bai, Cheng-Lin Liu, Fei Huang, Cong Yao

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training.

Qinghao Ye, Guohai Xu, Ming Yan, Haiyang Xu, Qi Qian, Ji Zhang, Fei Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Causal Document-Grounded Dialogue Pre-training.

Yingxiu Zhao, Bowen Yu, Bowen Li, Haiyang Yu, Jinyang Li, Chao Wang, Fei Huang, Yongbin Li, Nevin L. Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model.

Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Lin, Fei Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Knowledge Rumination for Pre-trained Language Models.

Yunzhi Yao, Peng Wang, Shengyu Mao, Chuanqi Tan, Fei Huang, Huajun Chen, Ningyu Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Question Generation with Multi-level Content Planning.

Zehua Xia, Qi Gou, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li, Cam-Tu Nguyen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.

Minghao Li, Yingxiu Zhao, Bowen Yu, Feifan Song, Hangyu Li, Haiyang Yu, Zhoujun Li, Fei Huang, Yongbin Li

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models.

Chenliang Li, He Chen, Ming Yan, Weizhou Shen, Haiyang Xu, Zhikai Wu, Zhicheng Zhang, Wenmeng Zhou, Yingda Chen, Chen Cheng, Hongzhu Shi, Ji Zhang, Fei Huang, Jingren Zhou

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Diversify Question Generation with Retrieval-Augmented Style Transfer.

Qi Gou, Zehua Xia, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li, Cam-Tu Nguyen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection.

Yi Dai, Hao Lang, Kaisheng Zeng, Fei Huang, Yongbin Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Seq2Seq Grammatical Error Correction via Decoding Interventions.

Houquan Zhou, Yumeng Liu, Zhenghua Li, Min Zhang, Bo Zhang, Chen Li, Ji Zhang, Fei Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts.

Yue Zhang, Bo Zhang, Haochen Jiang, Zhenghua Li, Chen Li, Fei Huang, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation.

Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment.

Tianshu Yu, Haoyu Gao, Ting-En Lin, Min Yang, Yuchuan Wu, Wentao Ma, Chao Wang, Fei Huang, Yongbin Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Transforming Visual Scene Graphs to Image Captions.

Xu Yang, Jiawei Peng, Zihua Wang, Haiyang Xu, Qinghao Ye, Chenliang Li, Songfang Huang, Fei Huang, Zhangzikang Li, Yu Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Reasoning with Language Model Prompting: A Survey.

Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark.

Yuxing Long, Binyuan Hui, Caixia Yuan, Fei Huang, Yongbin Li, Xiaojie Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts.

Yunshui Li, Binyuan Hui, Zhichao Yin, Min Yang, Fei Huang, Yongbin Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality.

Liang Li, Ruiying Geng, Chengyang Fang, Bing Li, Can Ma, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation.

Chaoya Jiang, Wei Ye, Haiyang Xu, Songfang Huang, Fei Huang, Shikun Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks.

Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

PEER: Pre-training ELECTRA Extended by Ranking.

Ru He, Wei Wang, Songfang Huang, Fei Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition.

Jinyuan Fang, Xiaobin Wang, Zaiqiao Meng, Pengjun Xie, Fei Huang, Yong Jiang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Long-Tailed Question Answering in an Open World.

Yi Dai, Hao Lang, Yinhe Zheng, Fei Huang, Yongbin Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Domain Incremental Lifelong Learning in an Open World.

Yi Dai, Hao Lang, Yinhe Zheng, Bowen Yu, Fei Huang, Yongbin Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Universal Information Extraction with Meta-Pretrained Self-Retrieval.

Xin Cong, Bowen Yu, Mengcheng Fang, Tingwen Liu, Haiyang Yu, Zhongkai Hu, Fei Huang, Yongbin Li, Bin Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering.

Qianglong Chen, Guohai Xu, Ming Yan, Ji Zhang, Fei Huang, Luo Si, Yin Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Unified Language Representation for Question Answering over Text, Tables, and Images.

Bowen Yu, Cheng Fu, Haiyang Yu, Fei Huang, Yongbin Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Adversarial Self-Attention for Language Understanding.

Hongqiu Wu, Ruixue Ding, Hai Zhao, Pengjun Xie, Fei Huang, Min Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Enhancing Neural Machine Translation With Dual-Side Multimodal Awareness.

Yuqing Song, Shizhe Chen, Qin Jin, Wei Luo, Jun Xie, Fei Huang

IEEE Trans. Multim., 2022

Low-resource extraction with knowledge-aware pairwise prototype learning.

Shumin Deng, Ningyu Zhang, Hui Chen, Chuanqi Tan, Fei Huang, Changliang Xu, Huajun Chen

Knowl. Based Syst., 2022

SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers.

Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang

CoRR, 2022

EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks.

Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu

CoRR, 2022

SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation.

Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, Yongbin Li

CoRR, 2022

A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions.

Bowen Qin, Binyuan Hui, Lihan Wang, Min Yang, Jinyang Li, Binhua Li, Ruiying Geng, Rongyu Cao, Jian Sun, Luo Si, Fei Huang, Yongbin Li

CoRR, 2022

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing.

Lihan Wang, Bowen Qin, Binyuan Hui, Bowen Li, Min Yang, Bailin Wang, Binhua Li, Fei Huang, Luo Si, Yongbin Li

CoRR, 2022

Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue System.

Ting-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, Yongbin Li

CoRR, 2022

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.

Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, Hehong Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si

CoRR, 2022

Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.

Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

CoRR, 2022

On Effectively Learning of Knowledge in Continual Pre-training.

Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang

CoRR, 2022

Image Captioning In the Transformer Age.

Yang Xu, Li Li, Haiyang Xu, Songfang Huang, Fei Huang, Jianfei Cai

CoRR, 2022

Contrastive Demonstration Tuning for Pre-trained Language Models.

Xiaozhuan Liang, Ningyu Zhang, Siyuan Cheng, Zhen Bi, Zhenru Zhang, Chuanqi Tan, Songfang Huang, Fei Huang, Huajun Chen

CoRR, 2022

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population.

Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Xin Xie, Xiang Chen, Zhoubo Li, Lei Li, Xiaozhuan Liang, Yunzhi Yao, Shumin Deng, Wen Zhang, Zhenru Zhang, Chuanqi Tan, Fei Huang, Guozhou Zheng, Huajun Chen

CoRR, 2022

Disentangled representation for sequential treatment effect estimation.

Jiebin Chu, Yaoyun Zhang, Fei Huang, Luo Si, Songfang Huang, Zhengxing Huang

Comput. Methods Programs Biomed., 2022

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction.

Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation.

Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, Yongbin Li

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion.

Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning.

Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition.

Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.

Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction.

Yue Zhang, Zhenghua Li, Zuyi Bao, Jiacheng Li, Bo Zhang, Chen Li, Fei Huang, Min Zhang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing.

Lihan Wang, Bowen Qin, Binyuan Hui, Bowen Li, Min Yang, Bailin Wang, Binhua Li, Jian Sun, Fei Huang, Luo Si, Yongbin Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems.

Ting-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, Yongbin Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

AISHELL-NER: Named Entity Recognition from Chinese Speech.

Boli Chen, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Meishan Zhang, Fei Huang

Proceedings of the IEEE International Conference on Acoustics, 2022

Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning.

Hongqiu Wu, Ruixue Ding, Hai Zhao, Boli Chen, Pengjun Xie, Fei Huang, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings.

Che Liu, Rui Wang, Junfeng Jiang, Yongbin Li, Fei Huang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.

Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, He Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Estimating Soft Labels for Out-of-Domain Intent Detection.

Hao Lang, Yinhe Zheng, Jian Sun, Fei Huang, Luo Si, Yongbin Li

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Generalizable and Robust Text-to-SQL Parsing.

Chang Gao, Bowen Li, Wenxuan Zhang, Wai Lam, Binhua Li, Fei Huang, Luo Si, Yongbin Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots.

Haomin Fu, Yeqin Zhang, Haiyang Yu, Jian Sun, Fei Huang, Luo Si, Yongbin Li, Cam-Tu Nguyen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing.

Zefeng Cai, Xiangyu Li, Binyuan Hui, Min Yang, Bowen Li, Binhua Li, Zheng Cao, Weijie Li, Fei Huang, Luo Si, Yongbin Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers.

Bowen Qin, Lihan Wang, Binyuan Hui, Bowen Li, Xiangpeng Wei, Binhua Li, Fei Huang, Luo Si, Min Yang, Yongbin Li

Proceedings of the 29th International Conference on Computational Linguistics, 2022

SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding.

Wanwei He, Yinpei Dai, Binyuan Hui, Min Yang, Zheng Cao, Jianbo Dong, Fei Huang, Luo Si, Yongbin Li

Proceedings of the 29th International Conference on Computational Linguistics, 2022

LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting.

Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.

Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method.

Runxin Xu, Fuli Luo, Baobao Chang, Songfang Huang, Fei Huang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency.

Yanyang Li, Fuli Luo, Runxin Xu, Songfang Huang, Fei Huang, Liwei Wang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition.

Zheng Yuan, Chuanqi Tan, Songfang Huang, Fei Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Parallel Instance Query Network for Named Entity Recognition.

Yongliang Shen, Xiaobin Wang, Zeqi Tan, Guangwei Xu, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Contrastive Information Extraction With Generative Transformer.

Ningyu Zhang, Hongbin Ye, Shumin Deng, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen

IEEE ACM Trans. Audio Speech Lang. Process., 2021

ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition.

Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

CoRR, 2021

Achieving Human Parity on Visual Question Answering.

Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Weihua Chen, Xianzhe Xu, Fan Wang, Zheng Cao, Zhicheng Zhang, Qiyu Zhang, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin

CoRR, 2021

Learning to Ask for Data-Efficient Event Argument Extraction.

Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen

CoRR, 2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.

Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Lei Li, Xiang Chen, Shumin Deng, Luoqiu Li, Hongbin Ye, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Mosha Chen, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Huajun Chen, Buzhou Tang, Qingcai Chen

CoRR, 2021

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking.

Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu

CoRR, 2021

Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction.

Luoqiu Li, Xiang Chen, Ningyu Zhang, Shumin Deng, Xin Xie, Chuanqi Tan, Mosha Chen, Fei Huang, Huajun Chen

CoRR, 2021

Dynamic Hybrid Relation 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

CoRR, 2021

Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion.

Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents.

Qingrong Xia, Bo Zhang, Rui Wang, Zhenghua Li, Yue Zhang, Fei Huang, Luo Si, Min Zhang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Product-oriented Machine Translation with Cross-modal Cross-lingual Pre-training.

Yuqing Song, Shizhe Chen, Qin Jin, Wei Luo, Jun Xie, Fei Huang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 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

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Prototypical Representation Learning for Relation Extraction.

Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Haitao Zheng, Rui Zhang

Proceedings of the 9th International Conference on Learning Representations, 2021

Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning.

Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations.

Xinyin Ma, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Weiming Lu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Rethinking Denoised Auto-Encoding in Language Pre-Training.

Fuli Luo, Pengcheng Yang, Shicheng Li, Xuancheng Ren, Xu Sun, Songfang Huang, Fei Huang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings.

Che Liu, Rui Wang, Jinghua Liu, Jian Sun, Fei Huang, Luo Si

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Unified Encoding of Structures in Transition Systems.

Tao Ji, Yong Jiang, Tao Wang, Zhongqiang Huang, Fei Huang, Yuanbin Wu, Xiaoling Wang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Word Reordering for Zero-shot Cross-lingual Structured Prediction.

Tao Ji, Yong Jiang, Tao Wang, Zhongqiang Huang, Fei Huang, Yuanbin Wu, Xiaoling Wang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Biomedical Pretrained Language Models with Knowledge.

Zheng Yuan, Yijia Liu, Chuanqi Tan, Songfang Huang, Fei Huang

Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning.

Haiyang Xu, Ming Yan, Chenliang Li, Bin Bi, Songfang Huang, Wenming Xiao, Fei Huang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor.

Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Automated Concatenation of Embeddings for Structured Prediction.

Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning.

Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation.

Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

StructuralLM: Structural Pre-training for Form Understanding.

Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Risk Minimization for Zero-shot Sequence Labeling.

Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Multi-View Cross-Lingual Structured Prediction with Minimum Supervision.

Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

OntoED: Low-resource Event Detection with Ontology Embedding.

Shumin Deng, Ningyu Zhang, Luoqiu Li, Hui Chen, Huaixiao Tou, Mosha Chen, Fei Huang, Huajun Chen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking.

Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Contrastive Triple Extraction with Generative Transformer.

Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation.

Ke Wang, Guandan Chen, Zhongqiang Huang, Xiaojun Wan, Fei Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity.

Binling Nie, Ruixue Ding, Pengjun Xie, Fei Huang, Chen Qian, Luo Si

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Nested Named Entity Recognition with Partially-Observed TreeCRFs.

Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation.

Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si

CoRR, 2020

Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference.

Haoyu Zhang, Dingkun Long, Guangwei Xu, Pengjun Xie, Fei Huang, Ji Wang

CoRR, 2020

Structural Knowledge Distillation.

Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

CoRR, 2020

Fast and Accurate Sequence Labeling with Approximate Inference Network.

Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

CoRR, 2020

FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN.

Ebrahim Ansari, Amittai Axelrod, Nguyen Bach, Ondrej Bojar, Roldano Cattoni, Fahim Dalvi, Nadir Durrani, Marcello Federico, Christian Federmann, Jiatao Gu, Fei Huang, Kevin Knight, Xutai Ma, Ajay Nagesh, Matteo Negri, Jan Niehues, Juan Miguel Pino, Elizabeth Salesky, Xing Shi, Sebastian Stüker, Marco Turchi, Alexander Waibel, Changhan Wang

Proceedings of the 17th International Conference on Spoken Language Translation, 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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

OpenUE: An Open Toolkit of Universal Extraction from Text.

Ningyu Zhang, Shumin Deng, Zhen Bi, Haiyang Yu, Jiacheng Yang, Mosha Chen, Fei Huang, Wei Zhang, Huajun Chen

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Aspect Sentiment Classification with Aspect-Specific Opinion Spans.

Lu Xu, Lidong Bing, Wei Lu, Fei Huang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network.

Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

An Investigation of Potential Function Designs for Neural CRF.

Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation.

Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

More Embeddings, Better Sequence Labelers?

Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Structure-Level Knowledge Distillation For Multilingual Sequence Labeling.

Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang, Kewei Tu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Joint Neural Model for Information Extraction with Global Features.

Ying Lin, Heng Ji, Fei Huang, Lingfei Wu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition.

Chuanqi Tan, Wei Qiu, Mosha Chen, Rui Wang, Fei Huang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Noisy BiLSTM-Based Models for Disfluency Detection.

Nguyen Bach, Fei Huang

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Unsupervised Multi-Modal Neural Machine Translation.

Yuanhang Su, Kai Fan, Nguyen Bach, C.-C. Jay Kuo, Fei Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Alibaba Speech Translation Systems for IWSLT 2018.

Nguyen Bach, Hongjie Chen, Kai Fan, Cheung-Chi Leung, Bo Li, Chongjia Ni, Rong Tong, Pei Zhang, Boxing Chen, Bin Ma, Fei Huang

Proceedings of the 15th International Conference on Spoken Language Translation, 2018

2016

Semi-supervised Convolutional Networks for Translation Adaptation with Tiny Amount of In-domain Data.

Boxing Chen, Fei Huang

Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Bilingual Methods for Adaptive Training Data Selection for Machine Translation.

Boxing Chen, Roland Kuhn, George F. Foster, Colin Cherry, Fei Huang

Proceedings of the 12th Conferences of the Association for Machine Translation in the Americas: MT Researchers' Track, 2016

2014

Improving MT post-editing productivity with adaptive confidence estimation for document-specific translation model.

Fei Huang, Jian-Ming Xu, Abraham Ittycheriah, Salim Roukos

Mach. Transl., 2014

Adaptive HTER Estimation for Document-Specific MT Post-Editing.

Fei Huang, Jian-Ming Xu, Abraham Ittycheriah, Salim Roukos

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Generalized Reordering Rules for Improved SMT.

Fei Huang, Cezar Pendus

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Joint bilingual name tagging for parallel corpora.

Qi Li, Haibo Li, Heng Ji, Wen Wang, Jing Zheng, Fei Huang

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Goodness: A Method for Measuring Machine Translation Confidence.

Nguyen Bach, Fei Huang, Yaser Al-Onaizan

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Feature-Rich Discriminative Phrase Rescoring for SMT.

Fei Huang, Bing Xiang

Proceedings of the COLING 2010, 2010

2009

Confidence Measure for Word Alignment.

Fei Huang

Proceedings of the ACL 2009, 2009

2008

When Harry Met Harri: Cross-lingual Name Spelling Normalization.

Fei Huang, Ahmad Emami, Imed Zitouni

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007

Hierarchical System Combination for Machine Translation.

Fei Huang, Kishore Papineni

Proceedings of the EMNLP-CoNLL 2007, 2007

2005

Mining translations of OOV terms from the web through cross-lingual query expansion.

Ying Zhang, Fei Huang, Stephan Vogel

Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Mining Key Phrase Translations from Web Corpora.

Fei Huang, Ying Zhang, Stephan Vogel

Proceedings of the HLT/EMNLP 2005, 2005

Cluster-specific Named Entity Transliteration.

Fei Huang

Proceedings of the HLT/EMNLP 2005, 2005

Clustering and Classifying Person Names by Origin.

Fei Huang, Stephan Vogel, Alex Waibel

Proceedings of the Proceedings, 2005

2004

Improving Named Entity Translation Combining Phonetic and Semantic Similarities.

Fei Huang, Stephan Vogel, Alex Waibel

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2004

Towards named entity extraction and translation in spoken language translation.

Fei Huang, Stephan Vogel, Alex Waibel

Proceedings of the 2004 International Workshop on Spoken Language Translation, 2004

2003

Extracting named entity translingual equivalence with limited resources.

Fei Huang, Stephan Vogel, Alex Waibel

ACM Trans. Asian Lang. Inf. Process., 2003

The CMU statistical machine translation system.

Stephan Vogel, Ying Zhang, Fei Huang, Alicia Tribble, Ashish Venugopal, Bing Zhao, Alex Waibel

Proceedings of Machine Translation Summit IX: Papers, 2003

Automatic Extraction of Named Entity Translingual Equivalence Based on Multi-Feature Cost Minimization.

Fei Huang, Stephan Vogel, Alex Waibel

Proceedings of the Workshop on Multilingual and Mixed-language Named Entity Recognition, 2003

2002

Improved Named Entity Translation and Bilingual Named Entity Extraction.

Fei Huang, Stephan Vogel

Proceedings of the 4th IEEE International Conference on Multimodal Interfaces (ICMI 2002), 2002

2000

Dialogue management for multimodal user registration.

Fei Huang, Jie Yang, Alex Waibel

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000