Tao Gui
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
139
Venues
13
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
139 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study. | Xiaoran Fan, Zhichao Sun, Yangfan Gao, Jingfei Xiong, Hang Yan, Yifei Cao, Jiajun Sun, Shuo Li, Zhihao Zhang, Zhiheng Xi, Yuhao Zhou, Senjie Jin, Changhao Jiang, Junjie Ye, Ming Zhang, Rui Zheng, Zhenhua Han, Yunke Zhang, Demei Yan, Shaokang Dong, Tao Ji, Tao Gui |
| 2026 | AAAI | MHA2MLA-VLM: Enabling DeepSeek's Economical Multi-Head Latent Attention Across Vision-Language Models. | Xiaoran Fan, Zhichao Sun, Tao Ji, Lixing Shen, Tao Gui |
| 2026 | AAAI | MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning. | Zhiheng Xi, Yuhui Wang, Yiwen Ding, Guanyu Li, Senjie Jin, Shichun Liu, Jixuan Huang, Dingwen Yang, Jiafu Tang, Boyang Hong, Junjie Ye, Shihan Dou, Ming Zhang, Jian Guan, Wei Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | From Scores to Preferences: Redefining Evaluation Paradigm for Speech Quality Reward Modeling. | Yifei Cao, Changhao Jiang, Jiabao Zhuang, Jiajun Sun, Ming Zhang, Zhiheng Xi, Hui Li, Shihan Dou, Yuran Wang, Yunke Zhang, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding. | Deming Ding, Shichun Liu, Enhui Yang, Jiahang Lin, Ziying Chen, Shihan Dou, Honglin Guo, Weiyu Cheng, Pengyu Zhao, Chengjun Xiao, Qunhong Zeng, Qi Zhang, Xuanjing Huang, Qidi Xu, Tao Gui |
| 2026 | ACL | Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing. | Xin Guo, Zhiheng Xi, Yiwen Ding, Yitao Zhai, Xiaowei Shi, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | FinToolSyn: A forward synthesis Framework for Financial Tool-Use Dialogue Data with Dynamic Tool Retrieval. | Caishuang Huang, Yang Qiao, Rongyu Zhang, Junjie Ye, Pu Lu, Wenxi Wu, Meng Zhou, Xiku Du, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2026 | ACL | Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control. | Changhao Jiang, Jiahao Chen, Zhenghao Xiang, Zhixiong Yang, Hanchen Wang, Jiabao Zhuang, Xinmeng Che, Jiajun Sun, Hui Li, Yifei Cao, Shihan Dou, Ming Zhang, Junjie Ye, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training. | Changhao Jiang, Ming Zhang, Yifei Cao, Junjie Ye, Xiaoran Fan, Shihan Dou, Zhiheng Xi, Jiajun Sun, Yi Dong, Yujiong Shen, Jingqi Tong, Baoyu Fan, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | MM-Doc-R1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning. | Jiahang Lin, Kai Hu, Binghai Wang, Yuhao Zhou, Zhiheng Xi, Honglin Guo, Shichun Liu, Junzhe Wang, Shihan Dou, Enyu Zhou, Hang Yan, Zhenhua Han, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | DARM: Distribution-Aware Reward Modeling by Alleviating Biases from Low Preference-Context Dependency Data. | Shaofan Liu, Guoqiang Zhang, Shihan Dou, Huiyuan Zheng, Yiming Zhou, Junjie Ye, Shaowen Wang, Shichun Liu, Jiazheng Zhang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models. | Binghai Wang, Yantao Liu, Yuxuan Liu, Tianyi Tang, Shenzhi Wang, Chang Gao, Chujie Zheng, Yichang Zhang, Le Yu, Shixuan Liu, Tao Gui, Qi Zhang, Xuanjing Huang, Bowen Yu, Fei Huang, Junyang Lin |
| 2026 | ACL | Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization. | Junzhe Wang, Zhiheng Xi, Yajie Yang, Hao Luo, Shihan Dou, Tao Gui, Qi Zhang |
| 2026 | ACL | AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments. | Zhiheng Xi, Dingwen Yang, Jiaqi Liu, Jixuan Huang, Honglin Guo, Baodai Huang, Tinggang Chen, Qi Zhang, Zhonghang Lu, Chenyu Liu, Jiajun Sun, Jiazheng Zhang, Dingwei Zhu, Xin Guo, Junzhe Wang, Zhihao Zhang, Yuming Yang, Junjie Ye, Minghe Gao, Dongrui Liu, Jiaming Ji, Guohao Li, Tao Gui, Xuanjing Huang |
| 2026 | ACL | ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development. | Jie Yang, Honglin Guo, Li Ji, Jiazheng Zhou, Rui Zheng, Zhikai Lei, Shuo Zhang, Zhiheng Xi, Shichun Liu, Yuxin Wang, Bo Wang, Yining Zheng, Tao Gui, Xipeng Qiu |
| 2026 | ACL | Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment. | Yuming Yang, Mingyoung Lai, Wanxu Zhao, Xiaoran Fan, Zhiheng Xi, Mingqi Wu, Chiyue Huang, Jun Zhao, Haijun Lv, Jian Tong, Yunhua Zhou, Yicheng Zou, Qipeng Guo, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models. | Junjie Ye, Caishuang Huang, Zhuohan Chen, Wenjie Fu, Chenyuan Yang, Leyi Yang, Yilong Wu, Peng Wang, Meng Zhou, Xiaolong Yang, Tao Gui, Qi Zhang, Zhongchao Shi, Jianping Fan, Xuanjing Huang |
| 2026 | ACL | Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments. | Junjie Ye, Changhao Jiang, Zhengyin Du, Yufei Xu, Xuesong Yao, Zhiheng Xi, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang, Jiecao Chen |
| 2026 | ACL | AgentV-RL: Scaling Reward Modeling with Agentic Verifier. | Jiazheng Zhang, Ziche Fu, Zhiheng Xi, Wenqing Jing, Mingxu Chai, Wei He, Guoqiang Zhang, Chenghao Fan, Chenxin An, Wenxiang Chen, Zhicheng Liu, Haojie Pan, Dingwei Zhu, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models. | Ming Zhang, Yujiong Shen, Jingyi Deng, Yuhui Wang, Huayu Sha, Kexin Tan, Qiyuan Peng, Yue Zhang, Junzhe Wang, Shichun Liu, Yueyuan Huang, Jingqi Tong, Changhao Jiang, Yilong Wu, Zhihao Zhang, Mingqi Wu, Mingxu Chai, Zhiheng Xi, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models. | Hengyuan Zhang, Zhihao Zhang, Ercong Nie, Mingyang Wang, Zunhai Su, Yiwei Wang, Qianli Wang, Shuzhou Yuan, Xufeng Duan, Qibo Xue, Zeping Yu, Chenming Shang, Xiao Liang, Jing Xiong, Hui Shen, Chaofan Tao, Zhengwu Liu, Senjie Jin, Zhiheng Xi, Dongdong Zhang, Sophia Ananiadou, Tao Gui, Ruobing Xie, Hayden Kwok-Hay So, Hinrich Schtze, Xuanjing Huang, Qi Zhang, Ngai Wong |
| 2026 | ACL | VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training. | Dingwei Zhu, Shihan Dou, Zhiheng Xi, Senjie Jin, Guoqiang Zhang, Jiazheng Zhang, Junjie Ye, Mingxu Chai, Enyu Zhou, Ming Zhang, Yuhui Wang, Caishuang Huang, Chenhao Huang, Yunke Zhang, Yuran Wang, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang |
| 2026 | WWW | AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress. | Zhiheng Xi, Chenyang Liao, Guanyu Li, Zhihao Zhang, Wenxiang Chen, Binghai Wang, Senjie Jin, Yuhao Zhou, Jian Guan, Wei Wu, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | AAAI | Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning. | Shihan Dou, Yan Liu, Enyu Zhou, Songyang Gao, Tianlong Li, Limao Xiong, Xin Zhao, Haoxiang Jia, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | ACL | Better Process Supervision with Bi-directional Rewarding Signals. | Wenxiang Chen, Wei He, Zhiheng Xi, Honglin Guo, Boyang Hong, Jiazheng Zhang, Nijun Li, Tao Gui, Yun Li, Qi Zhang, Xuanjing Huang |
| 2025 | ACL | Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling. | Shihan Dou, Jiayi Chen, Chenhao Huang, Feng Chen, Wei Chengzhi, Huiyuan Zheng, Shichun Liu, Yan Liu, Chenxiao Liu, Chao Xin, Lin Yan, Zongzhang Zhang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | ACL | Multi-Programming Language Sandbox for LLMs. | Shihan Dou, Jiazheng Zhang, Jianxiang Zang, Yunbo Tao, Weikang Zhou, Haoxiang Jia, Shichun Liu, Yuming Yang, Shenxi Wu, Zhiheng Xi, Muling Wu, Rui Zheng, Changze Lv, Limao Xiong, Shaoqing Zhang, Lin Zhang, Wenyu Zhan, Rongxiang Weng, Jingang Wang, Xunliang Cai, Yueming Wu, Ming Wen, Yixin Cao, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang |
| 2025 | ACL | CritiQ: Mining Data Quality Criteria from Human Preferences. | Honglin Guo, Kai Lv, Qipeng Guo, Tianyi Liang, Zhiheng Xi, Demin Song, Qiuyinzhe Zhang, Yu Sun, Kai Chen, Xipeng Qiu, Tao Gui |
| 2025 | ACL | Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs. | Tao Ji, Bin Guo, Yuanbin Wu, Qipeng Guo, Shenlixing Shenlixing, Chenzhan Chenzhan, Xipeng Qiu, Qi Zhang, Tao Gui |
| 2025 | ACL | AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments. | Zhiheng Xi, Yiwen Ding, Wenxiang Chen, Boyang Hong, Honglin Guo, Junzhe Wang, Xin Guo, Dingwen Yang, Chenyang Liao, Wei He, Songyang Gao, Lu Chen, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang |
| 2025 | ACL | Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric. | Yuming Yang, Yang Nan, Junjie Ye, Shihan Dou, Xiao Wang, Shuo Li, Huijie Lv, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | ACL | ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use. | Junjie Ye, Zhengyin Du, Xuesong Yao, Weijian Lin, Yufei Xu, Zehui Chen, Zaiyuan Wang, Sining Zhu, Zhiheng Xi, Siyu Yuan, Tao Gui, Qi Zhang, Xuanjing Huang, Jiecao Chen |
| 2025 | ACL | PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts. | Ming Zhang, Yuhui Wang, Yujiong Shen, Tingyi Yang, Changhao Jiang, Yilong Wu, Shihan Dou, Qinhao Chen, Zhiheng Xi, Zhihao Zhang, Yi Dong, Zhen Wang, Zhihui Fei, Mingyang Wan, Tao Liang, Guojun Ma, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2025 | COLING | Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition. | Yuming Yang, Wantong Zhao, Caishuang Huang, Junjie Ye, Xiao Wang, Huiyuan Zheng, Yang Nan, Yuran Wang, Xueying Xu, Kaixin Huang, Yunke Zhang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | COLING | ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios. | Junjie Ye, Guanyu Li, Songyang Gao, Caishuang Huang, Yilong Wu, Sixian Li, Xiaoran Fan, Shihan Dou, Tao Ji, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2025 | CVPR | SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models. | Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao |
| 2025 | EMNLP | Distill Visual Chart Reasoning Ability from LLMs to MLLMs. | Wei He, Zhiheng Xi, Wanxu Zhao, Xiaoran Fan, Yiwen Ding, Zifei Shan, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety. | Chenhao Huang, Ziyu Shen, Yicong Ren, Huiyuan Zheng, Jiazheng Zhang, Mingxu Chai, Ming Zhang, Shihan Dou, Fan Mo, Jie Shi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning. | Senjie Jin, Lu Chen, Zhiheng Xi, Yuhui Wang, Sirui Song, Yuhao Zhou, Xinbo Zhang, Peng Sun, Hong Lu, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations. | Shuo Li, Jiajun Sun, Guodong Zheng, Xiaoran Fan, Yujiong Shen, Yi Lu, Zhiheng Xi, Yuming Yang, Wenming Tan, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | LoRACoE: Improving Large Language Model via Composition-based LoRA Expert. | Guanyu Li, Zhiheng Xi, Zhihao Zhang, Boyang Hong, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use. | Junjie Ye, Yilong Wu, Sixian Li, Yuming Yang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Peng Wang, Zhongchao Shi, Jianping Fan, Zhengyin Du |
| 2025 | EMNLP | Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels. | Junjie Ye, Yuming Yang, Yang Nan, Shuo Li, Qi Zhang, Tao Gui, Xuanjing Huang, Peng Wang, Zhongchao Shi, Jianping Fan |
| 2025 | EMNLP | LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation. | Ming Zhang, Yujiong Shen, Zelin Li, Huayu Sha, Binze Hu, Yuhui Wang, Chenhao Huang, Shichun Liu, Jingqi Tong, Changhao Jiang, Mingxu Chai, Zhiheng Xi, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | Toward Optimal LLM Alignments Using Two-Player Games. | Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Yang Liu, Hang Li |
| 2025 | ICCV | UniPaint: Unified Space-Time Video Inpainting via Mixture-of-Experts. | Zhen Wan, Chenyang Qi, Zhiheng Liu, Tao Gui, Yue Ma |
| 2025 | ICLR | Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs. | Shuo Li, Tao Ji, Xiaoran Fan, Linsheng Lu, Leyi Yang, Yuming Yang, Zhiheng Xi, Rui Zheng, Yuran Wang, Xiaohui Zhao, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | ICLR | RMB: Comprehensively benchmarking reward models in LLM alignment. | Enyu Zhou, Guodong Zheng, Binghai Wang, Zhiheng Xi, Shihan Dou, Rong Bao, Wei Shen, Limao Xiong, Jessica Fan, Yurong Mou, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | NAACL | Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling. | Yiwen Ding, Zhiheng Xi, Wei He, Lizhuoyuan Lizhuoyuan, Yitao Zhai, Shi Xiaowei, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | AAAI | LLMEval: A Preliminary Study on How to Evaluate Large Language Models. | Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ACL | Making Harmful Behaviors Unlearnable for Large Language Models. | Xin Zhou, Yi Lu, Ruotian Ma, Yujian Wei, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ACL | StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback. | Shihan Dou, Yan Liu, Haoxiang Jia, Enyu Zhou, Limao Xiong, Junjie Shan, Caishuang Huang, Xiao Wang, Xiaoran Fan, Zhiheng Xi, Yuhao Zhou, Tao Ji, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | ACL | LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin. | Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Wei Shen, Limao Xiong, Yuhao Zhou, Xiao Wang, Zhiheng Xi, Xiaoran Fan, Shiliang Pu, Jiang Zhu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ACL | Navigating the OverKill in Large Language Models. | Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin |
| 2024 | ACL | Length Generalization of Causal Transformers without Position Encoding. | Jie Wang, Tao Ji, Yuanbin Wu, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang, Xiaoling Wang |
| 2024 | ACL | Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation. | Yikun Wang, Rui Zheng, Haoming Li, Qi Zhang, Tao Gui, Fei Liu |
| 2024 | ACL | Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild. | Ting Wu, Jingyi Liu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ACL | ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages. | Junjie Ye, Sixian Li, Guanyu Li, Caishuang Huang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | ACL | AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. | Jun Zhan, Junqi Dai, Jiasheng Ye, Yunhua Zhou, Dong Zhang, Zhigeng Liu, Xin Zhang, Ruibin Yuan, Ge Zhang, Linyang Li, Hang Yan, Jie Fu, Tao Gui, Tianxiang Sun, Yu-Gang Jiang, Xipeng Qiu |
| 2024 | ACL | P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization. | Yuansen Zhang, Xiao Wang, Tianze Chen, Jiayi Fu, Tao Gui, Qi Zhang |
| 2024 | ACL | Unveiling Linguistic Regions in Large Language Models. | Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | COLING | Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. | Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | COLING | RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions. | Yuansen Zhang, Xiao Wang, Zhiheng Xi, Han Xia, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | COLING | Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals. | Rui Zheng, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | COLING | ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks. | Yuhao Zhou, Wenxiang Chen, Rui Zheng, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | PDF-to-Tree: Parsing PDF Text Blocks into a Tree. | Yue Zhang, Zhihao Zhang, Wenbin Lai, Chong Zhang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration. | Jun Zhao, Can Zu, Xu Hao, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning. | Lu Chen, Rui Zheng, Binghai Wang, Senjie Jin, Caishuang Huang, Junjie Ye, Zhihao Zhang, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | LongHeads: Multi-Head Attention is Secretly a Long Context Processor. | Yi Lu, Xin Zhou, Wei He, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | Reward Modeling Requires Automatic Adjustment Based on Data Quality. | Binghai Wang, Rui Zheng, Lu Chen, Zhiheng Xi, Wei Shen, Yuhao Zhou, Dong Yan, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning. | Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | EMNLP | TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities. | Ming Zhang, Caishuang Huang, Yilong Wu, Shichun Liu, Huiyuan Zheng, Yurui Dong, Yujiong Shen, Shihan Dou, Jun Zhao, Junjie Ye, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | EMNLP | Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding. | Chong Zhang, Yi Tu, Yixi Zhao, Chenshu Yuan, Huan Chen, Yue Zhang, Mingxu Chai, Ya Guo, Huijia Zhu, Qi Zhang, Tao Gui |
| 2024 | EMNLP | Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs. | Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ICASSP | A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis. | Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ICLR | Improving Generalization of Alignment with Human Preferences through Group Invariant Learning. | Rui Zheng, Wei Shen, Yuan Hua, Wenbin Lai, Shihan Dou, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ICML | Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning. | Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | NAACL | Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models. | Wei He, Shichun Liu, Jun Zhao, Yiwen Ding, Yi Lu, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2023 | ACL | Learning "O" Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER. | Ruotian Ma, Xuanting Chen, Zhang Lin, Xin Zhou, Junzhe Wang, Tao Gui, Qi Zhang, Xiang Gao, Yun Wen Chen |
| 2023 | ACL | Coarse-to-fine Few-shot Learning for Named Entity Recognition. | Ruotian Ma, Zhang Lin, Xuanting Chen, Xin Zhou, Junzhe Wang, Tao Gui, Qi Zhang, Xiang Gao, Yun Wen Chen |
| 2023 | ACL | Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model. | Xiao Wang, Weikang Zhou, Qi Zhang, Jie Zhou, Songyang Gao, Junzhe Wang, Menghan Zhang, Xiang Gao, Yunwen Chen, Tao Gui |
| 2023 | ACL | Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization. | Ting Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2023 | ACL | A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. | Limao Xiong, Jie Zhou, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma, Ying Shan |
| 2023 | ACL | Connectivity Patterns are Task Embeddings. | Zhiheng Xi, Rui Zheng, Yuansen Zhang, Xuanjing Huang, Zhongyu Wei, Minlong Peng, Mingming Sun, Qi Zhang, Tao Gui |
| 2023 | ACL | Actively Supervised Clustering for Open Relation Extraction. | Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng, Mingming Sun |
| 2023 | ACL | Open Set Relation Extraction via Unknown-Aware Training. | Jun Zhao, Xin Zhao, WenYu Zhan, Qi Zhang, Tao Gui, Zhongyu Wei, Yun Wen Chen, Xiang Gao, Xuanjing Huang |
| 2023 | ACL | RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction. | Jun Zhao, WenYu Zhan, Xin Zhao, Qi Zhang, Tao Gui, Zhongyu Wei, Junzhe Wang, Minlong Peng, Mingming Sun |
| 2023 | ACL | Detecting Adversarial Samples through Sharpness of Loss Landscape. | Rui Zheng, Shihan Dou, Yuhao Zhou, Qin Liu, Tao Gui, Qi Zhang, Zhongyu Wei, Xuanjing Huang, Menghan Zhang |
| 2023 | ACL | Characterizing the Impacts of Instances on Robustness. | Rui Zheng, Zhiheng Xi, Qin Liu, Wenbin Lai, Tao Gui, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan, Weifeng Ge |
| 2023 | ACL | TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations. | Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Yuran Wang, Yong Ding, Yibo Zhang, Qi Zhang, Xuanjing Huang |
| 2023 | ACL | Towards Understanding Omission in Dialogue Summarization. | Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui |
| 2023 | CVPR | Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution. | Yixuan Sun, Dongyang Zhao, Zhangyue Yin, Yiwen Huang, Tao Gui, Wenqiang Zhang, Weifeng Ge |
| 2023 | EMNLP | Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback. | Wei Shen, Rui Zheng, WenYu Zhan, Jun Zhao, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2023 | EMNLP | Orthogonal Subspace Learning for Language Model Continual Learning. | Xiao Wang, Tianze Chen, Qiming Ge, Han Xia, Rong Bao, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2023 | EMNLP | Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement. | Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, Jia Liu, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2023 | EMNLP | RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. | Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2023 | EMNLP | Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction. | Chong Zhang, Ya Guo, Yi Tu, Huan Chen, Jinyang Tang, Huijia Zhu, Qi Zhang, Tao Gui |
| 2023 | EMNLP | TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference. | Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2023 | EMNLP | Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information. | Wentao Zhou, Jun Zhao, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2023 | EMNLP | RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms. | Enyu Zhou, Rui Zheng, Zhiheng Xi, Songyang Gao, Xiaoran Fan, Zichu Fei, Jingting Ye, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2022 | ACL | CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation. | Zichu Fei, Qi Zhang, Tao Gui, Di Liang, Sirui Wang, Wei Wu, Xuanjing Huang |
| 2022 | ACL | Flooding-X: Improving BERT's Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning. | Qin Liu, Rui Zheng, Bao Rong, Jingyi Liu, Zhihua Liu, Zhanzhan Cheng, Liang Qiao, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2022 | ACL | MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective. | Xiao Wang, Shihan Dou, Limao Xiong, Yicheng Zou, Qi Zhang, Tao Gui, Liang Qiao, Zhanzhan Cheng, Xuanjing Huang |
| 2022 | ACL | Robust Lottery Tickets for Pre-trained Language Models. | Rui Zheng, Bao Rong, Yuhao Zhou, Di Liang, Sirui Wang, Wei Wu, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2022 | ACL | Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents. | Yicheng Zou, Hongwei Liu, Tao Gui, Junzhe Wang, Qi Zhang, Meng Tang, Haixiang Li, Daniel Wang |
| 2022 | COLING | LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases. | Zichu Fei, Xin Zhou, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2022 | COLING | Causal Intervention Improves Implicit Sentiment Analysis. | Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2022 | COLING | Less Is Better: Recovering Intended-Feature Subspace to Robustify NLU Models. | Ting Wu, Tao Gui |
| 2022 | COLING | Read Extensively, Focus Smartly: A Cross-document Semantic Enhancement Method for Visual Documents NER. | Jun Zhao, Xin Zhao, WenYu Zhan, Tao Gui, Qi Zhang, Liang Qiao, Zhanzhan Cheng, Shiliang Pu |
| 2022 | COLING | PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack. | Rui Zheng, Rong Bao, Qin Liu, Tao Gui, Qi Zhang, Xuanjing Huang, Rui Xie, Wei Wu |
| 2022 | COLING | Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks. | Xin Zhou, Ruotian Ma, Yicheng Zou, Xuanting Chen, Tao Gui, Qi Zhang, Xuanjing Huang, Rui Xie, Wei Wu |
| 2022 | EMNLP | ProofInfer: Generating Proof via Iterative Hierarchical Inference. | Zichu Fei, Qi Zhang, Xin Zhou, Tao Gui, Xuanjing Huang |
| 2022 | EMNLP | Efficient Adversarial Training with Robust Early-Bird Tickets. | Zhiheng Xi, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2022 | EMNLP | Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer? | Ningyu Xu, Tao Gui, Ruotian Ma, Qi Zhang, Jingting Ye, Menghan Zhang, Xuanjing Huang |
| 2022 | EMNLP | TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion. | Xin Zhou, Jinzhu Lu, Tao Gui, Ruotian Ma, Zichu Fei, Yuran Wang, Yong Ding, Yibo Cheung, Qi Zhang, Xuanjing Huang |
| 2022 | IJCAI | Searching for Optimal Subword Tokenization in Cross-domain NER. | Ruotian Ma, Yiding Tan, Xin Zhou, Xuanting Chen, Di Liang, Sirui Wang, Wei Wu, Tao Gui |
| 2022 | NAACL | Template-free Prompt Tuning for Few-shot NER. | Ruotian Ma, Xin Zhou, Tao Gui, Yiding Tan, Linyang Li, Qi Zhang, Xuanjing Huang |
| 2021 | ACL | SENT: Sentence-level Distant Relation Extraction via Negative Training. | Ruotian Ma, Tao Gui, Linyang Li, Qi Zhang, Xuanjing Huang, Yaqian Zhou |
| 2021 | ACL | TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. | Xiao Wang, Qin Liu, Tao Gui, Qi Zhang, Yicheng Zou, Xin Zhou, Jiacheng Ye, Yongxin Zhang, Rui Zheng, Zexiong Pang, Qinzhuo Wu, Zhengyan Li, Chong Zhang, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Shan Qin, Bolin Zhu, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang |
| 2021 | ACL | A Unified Generative Framework for Various NER Subtasks. | Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu |
| 2021 | ACL | One2Set: Generating Diverse Keyphrases as a Set. | Jiacheng Ye, Tao Gui, Yichao Luo, Yige Xu, Qi Zhang |
| 2021 | EMNLP | Heterogeneous Graph Neural Networks for Keyphrase Generation. | Jiacheng Ye, Ruijian Cai, Tao Gui, Qi Zhang |
| 2021 | EMNLP | A Relation-Oriented Clustering Method for Open Relation Extraction. | Jun Zhao, Tao Gui, Qi Zhang, Yaqian Zhou |
| 2021 | EMNLP | Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining. | Yicheng Zou, Bolin Zhu, Xingwu Hu, Tao Gui, Qi Zhang |
| 2020 | AAAI | Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with | Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang |
| 2020 | EMNLP | Uncertainty-Aware Label Refinement for Sequence Labeling. | Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, Xuanjing Huang |
| 2020 | IJCAI | Leveraging Document-Level Label Consistency for Named Entity Recognition. | Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang |
| 2019 | AAAI | Switch-LSTMs for Multi-Criteria Chinese Word Segmentation. | Jingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu |
| 2019 | AAAI | Cooperative Multimodal Approach to Depression Detection in Twitter. | Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, Zhigang Chen |
| 2019 | AAAI | Long Short-Term Memory with Dynamic Skip Connections. | Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang |
| 2019 | AAAI | Trainable Undersampling for Class-Imbalance Learning. | Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Xuanjing Huang, Yu-Gang Jiang, Keyu Ding, Zhigang Chen |
| 2019 | EMNLP | A Lexicon-Based Graph Neural Network for Chinese NER. | Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang |
| 2019 | IJCAI | CNN-Based Chinese NER with Lexicon Rethinking. | Tao Gui, Ruotian Ma, Qi Zhang, Lujun Zhao, Yu-Gang Jiang, Xuanjing Huang |
| 2019 | IJCAI | Learning Task-Specific Representation for Novel Words in Sequence Labeling. | Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang |
| 2019 | SIGIR | Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning. | Tao Gui, Peng Liu, Qi Zhang, Liang Zhu, Minlong Peng, Yunhua Zhou, Xuanjing Huang |
| 2019 | SIGIR | Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection. | Di Liang, Fubao Zhang, Weidong Zhang, Qi Zhang, Jinlan Fu, Minlong Peng, Tao Gui, Xuanjing Huang |
| 2018 | COLING | A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis. | Yicheng Zou, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2018 | EMNLP | Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging. | Tao Gui, Qi Zhang, Jingjing Gong, Minlong Peng, Di Liang, Keyu Ding, Xuanjing Huang |
| 2017 | EMNLP | Part-of-Speech Tagging for Twitter with Adversarial Neural Networks. | Tao Gui, Qi Zhang, Haoran Huang, Minlong Peng, Xuanjing Huang |