Tao Gui

313 papers A* 40B 10Misc 1Journal 168Unranked 94
YearRankTypeTitle / Venue / Authors
2026 J jnl
ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development.
CoRR
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 J jnl
Advancing Block Diffusion Language Models for Test-Time Scaling.
CoRR
Yi Lu, Deyang Kong, Jianing Wang, Linsen Guo, Xue Wang, Qi Guo, Tao Gui, Xuanjing Huang, Wei Ye, Shikun Zhang, Wei Wang
2026 A* conf
AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress.
WWW
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
2026 J jnl
CCTU: A Benchmark for Tool Use under Complex Constraints.
CoRR
Junjie Ye, Guoqiang Zhang, Wenjie Fu, Tao Gui, Qi Zhang, Xuanjing Huang
2026 J jnl
CL-bench: A Benchmark for Context Learning.
CoRR
Shihan Dou, Ming Zhang, Zhangyue Yin, Chenhao Huang, Yujiong Shen, Junzhe Wang, Jiayi Chen, Yuchen Ni, Junjie Ye, Cheng Zhang, Huaibing Xie, Jianglu Hu, Shaolei Wang, Weichao Wang, Yanling Xiao, Yiting Liu, Zenan Xu, Zhen Guo, Pluto Zhou, Tao Gui, Zuxuan Wu, Xipeng Qiu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Di Wang, Shunyu Yao
2026 J jnl
Can Deep Research Agents Retrieve and Organize? Evaluating the Synthesis Gap with Expert Taxonomies.
CoRR
Ming Zhang, Jiabao Zhuang, Wenqing Jing, Kexin Tan, Ziyu Kong, Jingyi Deng, Yujiong Shen, Yuhang Zhao, Ning Luo, Renzhe Zheng, Jiahui Lin, Mingqi Wu, Long Ma, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang
2026 J jnl
Can RL Improve Generalization of LLM Agents? An Empirical Study.
CoRR
Zhiheng Xi, Xin Guo, Jiaqi Liu, Jiazheng Zhang, Yutao Fan, Zhihao Zhang, Shichun Liu, Mingxu Chai, Xiaowei Shi, Yitao Zhai, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang
2026 J jnl
ChartE
CoRR
Shuo Li, Jiajun Sun, Zhekai Wang, Xiaoran Fan, Hui Li, Dingwen Yang, Zhiheng Xi, Yijun Wang, Zifei Shan, Tao Gui, Qi Zhang, Xuanjing Huang
2026 J jnl
DFPO: Scaling Value Modeling via Distributional Flow towards Robust and Generalizable LLM Post-Training.
CoRR
Dingwei Zhu, Zhiheng Xi, Shihan Dou, Jiahan Li, Chenhao Huang, Junjie Ye, Sixian Li, Mingxu Chai, Yuhui Wang, Yajie Yang, Ming Zhang, Jiazheng Zhang, Shichun Liu, Caishuang Huang, Yunke Zhang, Yuran Wang, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang
2026 J jnl
FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructions.
CoRR
Peng Li, Zihan Zhuang, Yangfan Gao, Yi Dong, Sixian Li, Changhao Jiang, Shihan Dou, Zhiheng Xi, Enyu Zhou, Jixuan Huang, Hui Li, Jingjing Gong, Xingjun Ma, Tao Gui, Zuxuan Wu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Xipeng Qiu
2026 J jnl
FinToolSyn: A forward synthesis Framework for Financial Tool-Use Dialogue Data with Dynamic Tool Retrieval.
CoRR
Caishuang Huang, Yang Qiao, Rongyu Zhang, Junjie Ye, Pu Lu, Wenxi Wu, Meng Zhou, Xiku Du, Tao Gui, Qi Zhang, Xuanjing Huang
2026 J jnl
JFTA-Bench: Evaluate LLM's Ability of Tracking and Analyzing Malfunctions Using Fault Trees.
CoRR
Yuhui Wang, Zhixiong Yang, Ming Zhang, Shihan Dou, Zhiheng Xi, Enyu Zhou, Senjie Jin, Yujiong Shen, Dingwei Zhu, Yi Dong, Tao Gui, Qi Zhang, Xuanjing Huang
2026 J jnl
Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation.
CoRR
Changze Lv, Jie Zhou, Wentao Zhao, Jingwen Xu, Zisu Huang, Muzhao Tian, Shihan Dou, Tao Gui, Le Tian, Xiao Zhou, Xiaoqing Zheng, Xuanjing Huang, Jie Zhou
2026 J jnl
Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models.
CoRR
Hengyuan Zhang, Zhihao Zhang, Mingyang Wang, Zunhai Su, Yiwei Wang, Qianli Wang, Shuzhou Yuan, Ercong Nie, 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 Schütze, Xuanjing Huang, Qi Zhang, Ngai Wong
2026 A* conf
MHA2MLA-VLM: Enabling DeepSeek's Economical Multi-Head Latent Attention Across Vision-Language Models.
AAAI
Xiaoran Fan, Zhichao Sun, Tao Ji, Lixing Shen, Tao Gui
2026 J jnl
MHA2MLA-VLM: Enabling DeepSeek's Economical Multi-Head Latent Attention across Vision-Language Models.
CoRR
Xiaoran Fan, Zhichao Sun, Tao Ji, Lixing Shen, Tao Gui
2026 J jnl
MagicAgent: Towards Generalized Agent Planning.
CoRR
Xuhui Ren, Shaokang Dong, Chen Yang, Qing Gao, Yunbin Zhao, Yongsheng Liu, Xinwei Geng, Xiang Li, Demei Yan, Yanqing Li, Chenhao Huang, Dingwei Zhu, Junjie Ye, Boxuan Yue, Yingnan Fu, Mengzhe Lv, Zezeng Feng, Boshen Zhou, Bocheng Wang, Xuanjing Huang, Yu-Gang Jiang, Tao Gui, Qi Zhang, Yunke Zhang
2026 A* conf
MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning.
AAAI
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 J jnl
Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control.
CoRR
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 J jnl
OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding.
CoRR
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 J jnl
OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment.
CoRR
Ming Zhang, Kexin Tan, Yueyuan Huang, Yujiong Shen, Chunchun Ma, Li Ju, Xinran Zhang, Yuhui Wang, Wenqing Jing, Jingyi Deng, Huayu Sha, Binze Hu, Jingqi Tong, Changhao Jiang, Yage Geng, Yuankai Ying, Yue Zhang, Zhangyue Yin, Zhiheng Xi, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang
2026 J jnl
Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models.
CoRR
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 J jnl
SciAgentGym: Benchmarking Multi-Step Scientific Tool-use in LLM Agents.
CoRR
Yujiong Shen, Yajie Yang, Zhiheng Xi, Binze Hu, Huayu Sha, Jiazheng Zhang, Qiyuan Peng, Junlin Shang, Jixuan Huang, Yutao Fan, Jingqi Tong, Shihan Dou, Ming Zhang, Lei Bai, Zhenfei Yin, Tao Gui, Xingjun Ma, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang
2026 J jnl
Steering LLMs via Scalable Interactive Oversight.
CoRR
Enyu Zhou, Zhiheng Xi, Long Ma, Zhihao Zhang, Shihan Dou, Zhikai Lei, Guoteng Wang, Rui Zheng, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang
2026 A* conf
What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study.
AAAI
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 J jnl
What is wrong with your code generated by large language models? An extensive study.
Sci. China Inf. Sci.
Shihan Dou, Haoxiang Jia, Shenxi Wu, Huiyuan Zheng, Muling Wu, Yunbo Tao, Ming Zhang, Mingxu Chai, Jessica Fan, Zhiheng Xi, Rui Zheng, Yueming Wu, Ming Wen, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang
2026 J jnl
Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment.
CoRR
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
2025 J jnl
A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models.
CoRR
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
2025 J jnl
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning.
CoRR
Zhiheng Xi, Jixuan Huang, Chenyang Liao, Baodai Huang, Honglin Guo, Jiaqi Liu, Rui Zheng, Junjie Ye, Jiazheng Zhang, Wenxiang Chen, Wei He, Yiwen Ding, Guanyu Li, Zehui Chen, Zhengyin Du, Xuesong Yao, Yufei Xu, Jiecao Chen, Tao Gui, Zuxuan Wu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang
2025 — conf
AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments.
ACL (1)
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 J jnl
AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress.
CoRR
Zhiheng Xi, Chenyang Liao, Guanyu Li, Yajie Yang, Wenxiang Chen, Zhihao Zhang, Binghai Wang, Senjie Jin, Yuhao Zhou, Jian Guan, Wei Wu, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
2025 A* conf
Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning.
AAAI
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 A* conf
Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels.
EMNLP
Junjie Ye, Yuming Yang, Yang Nan, Shuo Li, Qi Zhang, Tao Gui, Xuanjing Huang, Peng Wang, Zhongchao Shi, Jianping Fan
2025 J jnl
Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels.
CoRR
Junjie Ye, Yuming Yang, Yang Nan, Shuo Li, Qi Zhang, Tao Gui, Xuanjing Huang, Peng Wang, Zhongchao Shi, Jianping Fan
2025 J jnl
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping.
CoRR
Zhiheng Xi, Xin Guo, Yang Nan, Enyu Zhou, Junrui Shen, Wenxiang Chen, Jiaqi Liu, Jixuan Huang, Zhihao Zhang, Honglin Guo, Xun Deng, Zhikai Lei, Miao Zheng, Guoteng Wang, Shuo Zhang, Peng Sun, Rui Zheng, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang
2025 J jnl
BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset.
CoRR
Zhiheng Xi, Guanyu Li, Yutao Fan, Honglin Guo, Yufang Liu, Xiaoran Fan, Jiaqi Liu, Jingchao Ding, Wangmeng Zuo, Zhenfei Yin, Lei Bai, Tao Ji, Tao Gui, Qi Zhang, Philip Torr, Xuanjing Huang
2025 — conf
Better Process Supervision with Bi-directional Rewarding Signals.
ACL (Findings)
Wenxiang Chen, Wei He, Zhiheng Xi, Honglin Guo, Boyang Hong, Jiazheng Zhang, Nijun Li, Tao Gui, Yun Li, Qi Zhang, Xuanjing Huang
2025 J jnl
Better Process Supervision with Bi-directional Rewarding Signals.
CoRR
Wenxiang Chen, Wei He, Zhiheng Xi, Honglin Guo, Boyang Hong, Jiazheng Zhang, Rui Zheng, Nijun Li, Tao Gui, Yun Li, Qi Zhang, Xuanjing Huang
2025 B conf
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition.
COLING
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 J jnl
Code2Logic: Game-Code-Driven Data Synthesis for Enhancing VLMs General Reasoning.
CoRR
Jingqi Tong, Jixin Tang, Hangcheng Li, Yurong Mou, Ming Zhang, Jun Zhao, Yanbo Wen, Fan Song, Jiahao Zhan, Yuyang Lu, Chaoran Tao, Zhiyuan Guo, Jizhou Yu, Tianhao Cheng, Changhao Jiang, Zhen Wang, Tao Liang, Zhihui Fei, Mingyang Wan, Guojun Ma, Weifeng Ge, Guanhua Chen, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang
2025 J jnl
Compression Hacking: A Supplementary Perspective on Informatics Metric of Language Models from Geometric Distortion.
CoRR
Jianxiang Zang, Meiling Ning, Yongda Wei, Shihan Dou, Jiazheng Zhang, Nijia Mo, Binhong Li, Tao Gui, Qi Zhang, Xuanjing Huang
2025 J jnl
Counteracting Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing.
CoRR
Xin Guo, Zhiheng Xi, Yiwen Ding, Yitao Zhai, Xiaowei Shi, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang
2025 — conf
CritiQ: Mining Data Quality Criteria from Human Preferences.
ACL (1)
Honglin Guo, Kai Lv, Qipeng Guo, Tianyi Liang, Zhiheng Xi, Demin Song, Qiuyinzhe Zhang, Yu Sun, Kai Chen, Xipeng Qiu, Tao Gui
2025 J jnl
CritiQ: Mining Data Quality Criteria from Human Preferences.
CoRR
Honglin Guo, Kai Lv, Qipeng Guo, Tianyi Liang, Zhiheng Xi, Demin Song, Qi Zhang, Yu Sun, Kai Chen, Xipeng Qiu, Tao Gui
2025 J jnl
Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning.
CoRR
Zhiheng Xi, Jixuan Huang, Xin Guo, Boyang Hong, Dingwen Yang, Xiaoran Fan, Shuo Li, Zehui Chen, Junjie Ye, Siyu Yuan, Zhengyin Du, Xuesong Yao, Yufei Xu, Jiecao Chen, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
2025 J jnl
DVPO: Distributional Value Modeling-based Policy Optimization for LLM Post-Training.
CoRR
Dingwei Zhu, Zhiheng Xi, Shihan Dou, Yuhui Wang, Sixian Li, Junjie Ye, Honglin Guo, Shichun Liu, Chenhao Huang, Yajie Yang, Junlin Shang, Senjie Jin, Ming Zhang, Jiazheng Zhang, Caishuang Huang, Yunke Zhang, Demei Yan, Yuran Wang, Tao Gui
2025 — conf
Distill Visual Chart Reasoning Ability from LLMs to MLLMs.
EMNLP (Findings)
Wei He, Zhiheng Xi, Wanxu Zhao, Xiaoran Fan, Yiwen Ding, Zifei Shan, Tao Gui, Qi Zhang, Xuanjing Huang
2025 J jnl
Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation.
CoRR
Yi Lu, Wanxu Zhao, Xin Zhou, Chenxin An, Chenglong Wang, Shuo Li, Yuming Yang, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
2025 J jnl
EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving.
CoRR
Shihan Dou, Ming Zhang, Chenhao Huang, Jiayi Chen, Feng Chen, Shichun Liu, Yan Liu, Chenxiao Liu, Cheng Zhong, Zongzhang Zhang, Tao Gui, Chao Xin, Wei Chengzhi, Lin Yan, Qi Zhang, Yonghui Wu, Xuanjing Huang
2025 J jnl
From Scores to Preferences: Redefining MOS Benchmarking for Speech Quality Reward Modeling.
CoRR
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
2025 A* conf
Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety.
EMNLP
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 A* conf
Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs.
ICLR
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 — conf
Improving RL Exploration for LLM Reasoning Through Retrospective Replay.
NLPCC (1)
Shihan Dou, Muling Wu, Jingwen Xu, Rui Zheng, Tao Gui, Qi Zhang
2025 J jnl
Improving RL Exploration for LLM Reasoning through Retrospective Replay.
CoRR
Shihan Dou, Muling Wu, Jingwen Xu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
2025 B conf
Joining the Dots: Efficient Joins Over Parent-Child Ordered Postings Lists.
IEEE Big Data
Karthikeyan Ramasamy, Yupeng Fu, Jinny Jingyu Wang, Philip Chan, Tejas Naik, George Zhai, Shubham Gupta, Saurabh Kathpalia, Noah Schlager, Kamyar Arbabifard, Sandhya Sainath, Kunal Veera, Vivek Muniyandi, Nimish Sheth, Yiyu Pan, Tao Gui, Frank Zhang, Kaustubh Butte, Monika Agarwal, Aparajita Pandey
2025 J jnl
LLMEval-3: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models.
CoRR
Ming Zhang, Yujiong Shen, Jingyi Deng, Yuhui Wang, Yue Zhang, Junzhe Wang, Shichun Liu, Shihan Dou, Huayu Sha, Qiyuan Peng, Changhao Jiang, Jingqi Tong, Yilong Wu, Zhihao Zhang, Mingqi Wu, Zhiheng Xi, Mingxu Chai, Tao Liang, Zhihui Fei, Zhen Wang, Mingyang Wan, Guojun Ma, Tao Gui, Qi Zhang, Xuanjing Huang
2025 — conf
LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation.
EMNLP (Findings)
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 J jnl
LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation.
CoRR
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 A* conf
LoRACoE: Improving Large Language Model via Composition-based LoRA Expert.
EMNLP
Guanyu Li, Zhiheng Xi, Zhihao Zhang, Boyang Hong, Tao Gui, Qi Zhang, Xuanjing Huang
2025 — conf
Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling.
ACL (1)
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 J jnl
MDAR: A Multi-scene Dynamic Audio Reasoning Benchmark.
CoRR
Hui Li, Changhao Jiang, Hongyu Wang, Ming Zhang, Jiajun Sun, Zhixiong Yang, Yifei Cao, Shihan Dou, Xiaoran Fan, Baoyu Fan, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
2025 J jnl
Machine-assisted writing evaluation: Exploring pre-trained language models in analyzing argumentative moves.
CoRR
Wenjuan Qin, Weiran Wang, Yuming Yang, Tao Gui
2025 J jnl
MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning.
CoRR
Liujian Tang, Shaokang Dong, Yijia Huang, Minqi Xiang, Hongtao Ruan, Bin Wang, Shuo Li, Zhiheng Xi, Zhihui Cao, Hailiang Pang, Heng Kong, He Yang, Mingxu Chai, Zhilin Gao, Xingyu Liu, Yingnan Fu, Jiaming Liu, Xuanjing Huang, Yu-Gang Jiang, Tao Gui, Qi Zhang, Kang Wang, Yunke Zhang, Yuran Wang
2025 — conf
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric.
ACL (1)
Yuming Yang, Yang Nan, Junjie Ye, Shihan Dou, Xiao Wang, Shuo Li, Huijie Lv, Tao Gui, Qi Zhang, Xuanjing Huang
2025 J jnl
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric.
CoRR
Yuming Yang, Yang Nan, Junjie Ye, Shihan Dou, Xiao Wang, Shuo Li, Huijie Lv, Mingqi Wu, Tao Gui, Qi Zhang, Xuanjing Huang
2025 J jnl
Memory in the Age of AI Agents.
CoRR
Yuyang Hu, Shichun Liu, Yanwei Yue, Guibin Zhang, Boyang Liu, Fangyi Zhu, Jiahang Lin, Honglin Guo, Shihan Dou, Zhiheng Xi, Senjie Jin, Jiejun Tan, Yanbin Yin, Jiongnan Liu, Zeyu Zhang, Zhongxiang Sun, Yutao Zhu, Hao Sun, Boci Peng, Zhenrong Cheng, Xuanbo Fan, Jiaxin Guo, Xinlei Yu, Zhenhong Zhou, Zewen Hu, Jiahao Huo, Junhao Wang, Yuwei Niu, Yu Wang, Zhenfei Yin, Xiaobin Hu, Yue Liao, Qiankun Li, Kun Wang, Wangchunshu Zhou, Yixin Liu, Dawei Cheng, Qi Zhang, Tao Gui, Shirui Pan, Yan Zhang, Philip Torr, Zhicheng Dou, Ji-Rong Wen, Xuanjing Huang, Yu-Gang Jiang, Shuicheng Yan
2025 — conf
Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations.
EMNLP (Findings)
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 J jnl
Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations.
CoRR
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 — conf
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling.
NAACL (Long Papers)
Yiwen Ding, Zhiheng Xi, Wei He, Lizhuoyuan Lizhuoyuan, Yitao Zhai, Shi Xiaowei, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang
2025 — conf
Multi-Programming Language Sandbox for LLMs.
ACL (3)
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 — conf
One-Hop All-Optical Dc-Oriented Networks for 2030.
ECOC
Liang Zhang, Sisi Tan, Tao Gui
2025 — conf
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts.
ACL (Findings)
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 J jnl
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts.
CoRR
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 A* conf
Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning.
EMNLP
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 J jnl
Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning.
CoRR
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 J jnl
Pre-Trained Policy Discriminators are General Reward Models.
CoRR
Shihan Dou, Shichun Liu, Yuming Yang, Yicheng Zou, Yunhua Zhou, Shuhao Xing, Chenhao Huang, Qiming Ge, Demin Song, Haijun Lv, Songyang Gao, Chengqi Lv, Enyu Zhou, Honglin Guo, Zhiheng Xi, Wenwei Zhang, Qipeng Guo, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Tao Gui, Kai Chen
2025 J jnl
Predicting Large Language Model Capabilities on Closed-Book QA Tasks Using Only Information Available Prior to Training.
CoRR
Changhao Jiang, Ming Zhang, Junjie Ye, Xiaoran Fan, Yifei Cao, Jiajun Sun, Zhiheng Xi, Shihan Dou, Yi Dong, Yujiong Shen, Jingqi Tong, Zhen Wang, Tao Liang, Zhihui Fei, Mingyang Wan, Guojun Ma, Qi Zhang, Tao Gui, Xuanjing Huang
2025 J jnl
R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?
CoRR
Yi Lu, Jianing Wang, Linsen Guo, Wei He, Hongyin Tang, Tao Gui, Xuanjing Huang, Xuezhi Cao, Wei Wang, Xunliang Cai
2025 A* conf
RMB: Comprehensively benchmarking reward models in LLM alignment.
ICLR
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 J jnl
Reinforcement Fine-Tuning Enables MLLMs Learning Novel Tasks Stably.
CoRR
Zhihao Zhang, Qiaole Dong, Qi Zhang, Jun Zhao, Enyu Zhou, Zhiheng Xi, Senjie Jin, Xiaoran Fan, Yuhao Zhou, Yanwei Fu, Tao Ji, Tao Gui, Xuanjing Huang
2025 A* conf
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models.
CVPR
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 J jnl
Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models.
CoRR
Xin Zhou, Yiwen Guo, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang
2025 J jnl
Speech-Language Models with Decoupled Tokenizers and Multi-Token Prediction.
CoRR
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, Qi Zhang, Xuanjing Huang
2025 J jnl
SpeechRole: A Large-Scale Dataset and Benchmark for Evaluating Speech Role-Playing Agents.
CoRR
Changhao Jiang, Jiajun Sun, Yifei Cao, Jiabao Zhuang, Hui Li, Xiaoran Fan, Ming Zhang, Junjie Ye, Shihan Dou, Zhiheng Xi, Jingqi Tong, Yilong Wu, Baoyu Fan, Zhen Wang, Tao Liang, Zhihui Fei, Mingyang Wan, Guojun Ma, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
2025 — conf
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use.
EMNLP (Findings)
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 J jnl
The Role of Entropy in Visual Grounding: Analysis and Optimization.
CoRR
Shuo Li, Jiajun Sun, Zhihao Zhang, Xiaoran Fan, Senjie Jin, Hui Li, Yuming Yang, Junjie Ye, Lixing Shen, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
2025 J jnl
The rise and potential of large language model based agents: a survey.
Sci. China Inf. Sci.
Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huang, Qi Zhang, Tao Gui
2025 B conf
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios.
COLING
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 — conf
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use.
ACL (1)
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 J jnl
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use.
CoRR
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 — conf
Toward Optimal LLM Alignments Using Two-Player Games.
EMNLP (Findings)
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 — conf
Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs.
ACL (1)
Tao Ji, Bin Guo, Yuanbin Wu, Qipeng Guo, Shenlixing Shenlixing, Chenzhan Chenzhan, Xipeng Qiu, Qi Zhang, Tao Gui
2025 J jnl
Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs.
CoRR
Tao Ji, Bin Guo, Yuanbin Wu, Qipeng Guo, Lixing Shen, Zhan Chen, Xipeng Qiu, Qi Zhang, Tao Gui
2025 J jnl
Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment.
CoRR
Jiazheng Zhang, Wenqing Jing, Zizhuo Zhang, Zhiheng Xi, Shihan Dou, Rongxiang Weng, Jiahuan Li, Jingang Wang, Mingxu Chai, Shibo Hong, Tao Gui, Qi Zhang
2025 — conf
UniPaint: Unified Space-Time Video Inpainting via Mixture-of-Experts.
ICCVW
Zhen Wan, Chenyang Qi, Zhiheng Liu, Tao Gui, Yue Ma
2025 J jnl
Unlocking the Essence of Beauty: Advanced Aesthetic Reasoning with Relative-Absolute Policy Optimization.
CoRR
Boyang Liu, Yifan Hu, Senjie Jin, Shihan Dou, Gonglei Shi, Jie Shao, Tao Gui, Xuanjing Huang
2025 J jnl
VRPO: Rethinking Value Modeling for Robust RL Training under Noisy Supervision.
CoRR
Dingwei Zhu, Shihan Dou, Zhiheng Xi, Senjie Jin, Guoqiang Zhang, Jiazheng Zhang, Junjie Ye, Mingxu Chai, Enyu Zhou, Ming Zhang, Caishuang Huang, Yunke Zhang, Yuran Wang, Tao Gui
2025 — conf
Visual Sketchbook: Enhancing Chart-to-Code Generation via Reflective Refinement.
NLPCC (2)
Junzhe Wang, Zhiheng Xi, Wei He, Dingwei Zhu, Shihan Dou, Tao Gui, Qi Zhang
2025 J jnl
WisPaper: Your AI Scholar Search Engine.
CoRR
Li Ju, Jun Zhao, Mingxu Chai, Ziyu Shen, Xiangyang Wang, Yage Geng, Chunchun Ma, Hao Peng, Guangbin Li, Tao Li, Chengyong Liao, Fu Wang, Xiaolong Wang, Junshen Chen, Rui Gong, Shijia Liang, Feiyan Li, Ming Zhang, Kexin Tan, Junjie Ye, Zhiheng Xi, Shihan Dou, Tao Gui, Yuankai Ying, Yang Shi, Yue Zhang, Qi Zhang
2025 J jnl
WorldPM: Scaling Human Preference Modeling.
CoRR
Binghai Wang, Runji Lin, Keming Lu, Le Yu, Zhenru Zhang, Fei Huang, Chujie Zheng, Kai Dang, Yang Fan, Xingzhang Ren, An Yang, Binyuan Hui, Dayiheng Liu, Tao Gui, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Bowen Yu, Jingren Zhou, Junyang Lin
2024 Misc conf
A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis.
ICASSP
Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution.
CoRR
Nuo Xu, Jun Zhao, Can Zu, Sixian Li, Lu Chen, Zhihao Zhang, Rui Zheng, Shihan Dou, Wenjuan Qin, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments.
CoRR
Zhiheng Xi, Yiwen Ding, Wenxiang Chen, Boyang Hong, Honglin Guo, Junzhe Wang, Dingwen Yang, Chenyang Liao, Xin Guo, Wei He, Songyang Gao, Lu Chen, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang
2024 — conf
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling.
ACL (1)
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 J jnl
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling.
CoRR
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 J jnl
Are Large Language Models Good Prompt Optimizers?
CoRR
Ruotian Ma, Xiaolei Wang, Xin Zhou, Jian Li, Nan Du, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition.
CoRR
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
2024 — conf
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing.
NLPCC (1)
Shihan Dou, Songyang Gao, Tao Gui, Qi Zhang
2024 J jnl
CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models.
CoRR
Huijie Lv, Xiao Wang, Yuansen Zhang, Caishuang Huang, Shihan Dou, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
Distill Visual Chart Reasoning Ability from LLMs to MLLMs.
CoRR
Wei He, Zhiheng Xi, Wanxu Zhao, Xiaoran Fan, Yiwen Ding, Zifei Shan, Tao Gui, Qi Zhang, Xuanjing Huang
2024 — conf
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis.
LREC/COLING
Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang
2024 J jnl
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis.
CoRR
Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang
2024 J jnl
EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models.
CoRR
Weikang Zhou, Xiao Wang, Limao Xiong, Han Xia, Yingshuang Gu, Mingxu Chai, Fukang Zhu, Caishuang Huang, Shihan Dou, Zhiheng Xi, Rui Zheng, Songyang Gao, Yicheng Zou, Hang Yan, Yifan Le, Ruohui Wang, Lijun Li, Jing Shao, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
Empirical Insights on Fine-Tuning Large Language Models for Question-Answering.
CoRR
Junjie Ye, Yuming Yang, Qi Zhang, Tao Gui, Xuanjing Huang, Peng Wang, Zhongchao Shi, Jianping Fan
2024 — conf
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild.
ACL (1)
Ting Wu, Jingyi Liu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision.
CoRR
Zhiheng Xi, Dingwen Yang, Jixuan Huang, Jiafu Tang, Guanyu Li, Yiwen Ding, Wei He, Boyang Hong, Shihan Dou, WenYu Zhan, Xiao Wang, Rui Zheng, Tao Ji, Xiaowei Shi, Yitao Zhai, Rongxiang Weng, Jingang Wang, Xunliang Cai, Tao Gui, Zuxuan Wu, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Yu-Gang Jiang
2024 J jnl
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities.
CoRR
Chaochao Lu, Chen Qian, Guodong Zheng, Hongxing Fan, Hongzhi Gao, Jie Zhang, Jing Shao, Jingyi Deng, Jinlan Fu, Kexin Huang, Kunchang Li, Lijun Li, Limin Wang, Lu Sheng, Meiqi Chen, Ming Zhang, Qibing Ren, Sirui Chen, Tao Gui, Wanli Ouyang, Yali Wang, Yan Teng, Yaru Wang, Yi Wang, Yinan He, Yingchun Wang, Yixu Wang, Yongting Zhang, Yu Qiao, Yujiong Shen, Yurong Mou, Yuxi Chen, Zaibin Zhang, Zhelun Shi, Zhenfei Yin, Zhipin Wang
2024 J jnl
Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs.
CoRR
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
2024 A* conf
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning.
EMNLP
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 A* conf
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning.
ICLR
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 J jnl
Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction Tuning.
CoRR
Wujian Peng, Lingchen Meng, Yitong Chen, Yiweng Xie, Yang Liu, Tao Gui, Hang Xu, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
InternLM2 Technical Report.
CoRR
Zheng Cai, Maosong Cao, Haojiong Chen, Kai Chen, Keyu Chen, Xin Chen, Xun Chen, Zehui Chen, Zhi Chen, Pei Chu, Xiaoyi Dong, Haodong Duan, Qi Fan, Zhaoye Fei, Yang Gao, Jiaye Ge, Chenya Gu, Yuzhe Gu, Tao Gui, Aijia Guo, Qipeng Guo, Conghui He, Yingfan Hu, Ting Huang, Tao Jiang, Penglong Jiao, Zhenjiang Jin, Zhikai Lei, Jiaxing Li, Jingwen Li, Linyang Li, Shuaibin Li, Wei Li, Yining Li, Hongwei Liu, Jiangning Liu, Jiawei Hong, Kaiwen Liu, Kuikun Liu, Xiaoran Liu, Chengqi Lv, Haijun Lv, Kai Lv, Li Ma, Runyuan Ma, Zerun Ma, Wenchang Ning, Linke Ouyang, Jiantao Qiu, Yuan Qu, Fukai Shang, Yunfan Shao, Demin Song, Zifan Song, Zhihao Sui, Peng Sun, Yu Sun, Huanze Tang, Bin Wang, Guoteng Wang, Jiaqi Wang, Jiayu Wang, Rui Wang, Yudong Wang, Ziyi Wang, Xingjian Wei, Qizhen Weng, Fan Wu, Yingtong Xiong, Xiaomeng Zhao, et al.
2024 J jnl
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition.
CoRR
Junjie Ye, Nuo Xu, Yikun Wang, Jie Zhou, Qi Zhang, Tao Gui, Xuanjing Huang
2024 A* conf
LLMEval: A Preliminary Study on How to Evaluate Large Language Models.
AAAI
Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
LLaMA Beyond English: An Empirical Study on Language Capability Transfer.
CoRR
Jun Zhao, Zhihao Zhang, Luhui Gao, Qi Zhang, Tao Gui, Xuanjing Huang
2024 A* conf
LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration.
EMNLP
Jun Zhao, Can Zu, Xu Hao, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang
2024 — conf
Length Generalization of Causal Transformers without Position Encoding.
ACL (Findings)
Jie Wang, Tao Ji, Yuanbin Wu, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang, Xiaoling Wang
2024 J jnl
Length Generalization of Causal Transformers without Position Encoding.
CoRR
Jie Wang, Tao Ji, Yuanbin Wu, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang, Xiaoling Wang
2024 — conf
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin.
ACL (1)
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 J jnl
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration.
CoRR
Jun Zhao, Can Zu, Hao Xu, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang
2024 — conf
LongHeads: Multi-Head Attention is Secretly a Long Context Processor.
EMNLP (Findings)
Yi Lu, Xin Zhou, Wei He, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
LongHeads: Multi-Head Attention is Secretly a Long Context Processor.
CoRR
Yi Lu, Xin Zhou, Wei He, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
2024 — conf
Making Harmful Behaviors Unlearnable for Large Language Models.
ACL (Findings)
Xin Zhou, Yi Lu, Ruotian Ma, Yujian Wei, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
MetaRM: Shifted Distributions Alignment via Meta-Learning.
CoRR
Shihan Dou, Yan Liu, Enyu Zhou, Tianlong Li, Haoxiang Jia, Limao Xiong, Xin Zhao, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling.
CoRR
Yiwen Ding, Zhiheng Xi, Wei He, Zhuoyuan Li, Yitao Zhai, Xiaowei Shi, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang
2024 A* conf
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding.
EMNLP
Chong Zhang, Yi Tu, Yixi Zhao, Chenshu Yuan, Huan Chen, Yue Zhang, Mingxu Chai, Ya Guo, Huijia Zhu, Qi Zhang, Tao Gui
2024 J jnl
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding.
CoRR
Chong Zhang, Yi Tu, Yixi Zhao, Chenshu Yuan, Huan Chen, Yue Zhang, Mingxu Chai, Ya Guo, Huijia Zhu, Qi Zhang, Tao Gui
2024 J jnl
MouSi: Poly-Visual-Expert Vision-Language Models.
CoRR
Xiaoran Fan, Tao Ji, Changhao Jiang, Shuo Li, Senjie Jin, Sirui Song, Junke Wang, Boyang Hong, Lu Chen, Guodong Zheng, Ming Zhang, Caishuang Huang, Rui Zheng, Zhiheng Xi, Yuhao Zhou, Shihan Dou, Junjie Ye, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
Multi-Programming Language Sandbox for LLMs.
CoRR
Shihan Dou, Jiazheng Zhang, Jianxiang Zang, Yunbo Tao, Haoxiang Jia, Shichun Liu, Yuming Yang, Shenxi Wu, Shaoqing Zhang, Muling Wu, Changze Lv, Limao Xiong, WenYu Zhan, Lin Zhang, Rongxiang Weng, Jingang Wang, Xunliang Cai, Yueming Wu, Ming Wen, Rui Zheng, Tao Ji, Yixin Cao, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang
2024 — conf
Navigating the OverKill in Large Language Models.
ACL (1)
Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin
2024 J jnl
Navigating the OverKill in Large Language Models.
CoRR
Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin
2024 — conf
ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks.
LREC/COLING
Yuhao Zhou, Wenxiang Chen, Rui Zheng, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang
2024 — conf
P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization.
ACL (Findings)
Yuansen Zhang, Xiao Wang, Tianze Chen, Jiayi Fu, Tao Gui, Qi Zhang
2024 — conf
PDF-to-Tree: Parsing PDF Text Blocks into a Tree.
EMNLP (Findings)
Yue Zhang, Zhihao Zhang, Wenbin Lai, Chong Zhang, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
RMB: Comprehensively Benchmarking Reward Models in LLM Alignment.
CoRR
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
2024 — conf
Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation.
ACL (Student Research Workshop)
Yikun Wang, Rui Zheng, Haoming Li, Qi Zhang, Tao Gui, Fei Liu
2024 — conf
Reward Modeling Requires Automatic Adjustment Based on Data Quality.
EMNLP (Findings)
Binghai Wang, Rui Zheng, Lu Chen, Zhiheng Xi, Wei Shen, Yuhao Zhou, Dong Yan, Tao Gui, Qi Zhang, Xuanjing Huang
2024 — conf
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions.
LREC/COLING
Yuansen Zhang, Xiao Wang, Zhiheng Xi, Han Xia, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions.
CoRR
Yuansen Zhang, Xiao Wang, Zhiheng Xi, Han Xia, Tao Gui, Qi Zhang, Xuanjing Huang
2024 A* conf
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning.
EMNLP
Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang
2024 J jnl
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning.
CoRR
Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang
2024 J jnl
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model.
CoRR
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
2024 J jnl
SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance.
CoRR
Caishuang Huang, Wanxu Zhao, Rui Zheng, Huijie Lv, Shihan Dou, Sixian Li, Xiao Wang, Enyu Zhou, Junjie Ye, Yuming Yang, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
Secrets of RLHF in Large Language Models Part II: Reward Modeling.
CoRR
Binghai Wang, Rui Zheng, Lu Chen, Yan Liu, Shihan Dou, Caishuang Huang, Wei Shen, Senjie Jin, Enyu Zhou, Chenyu Shi, Songyang Gao, Nuo Xu, Yuhao Zhou, Xiaoran Fan, Zhiheng Xi, Jun Zhao, Xiao Wang, Tao Ji, Hang Yan, Lixing Shen, Zhan Chen, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang
2024 — conf
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models.
NAACL-HLT (Findings)
Wei He, Shichun Liu, Jun Zhao, Yiwen Ding, Yi Lu, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models.
CoRR
Wei He, Shichun Liu, Jun Zhao, Yiwen Ding, Yi Lu, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback.
CoRR
Shihan Dou, Yan Liu, Haoxiang Jia, Limao Xiong, Enyu Zhou, Wei Shen, Junjie Shan, Caishuang Huang, Xiao Wang, Xiaoran Fan, Zhiheng Xi, Yuhao Zhou, Tao Ji, Rui Zheng, Qi Zhang, Xuanjing Huang, Tao Gui
2024 — conf
StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback.
ACL (1)
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 — conf
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals.
LREC/COLING
Rui Zheng, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals.
CoRR
Rui Zheng, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use.
CoRR
Junjie Ye, Yilong Wu, Sixian Li, Yuming Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Peng Wang, Zhongchao Shi, Jianping Fan, Zhengyin Du
2024 J jnl
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios.
CoRR
Junjie Ye, Guanyu Li, Songyang Gao, Caishuang Huang, Yilong Wu, Sixian Li, Xiaoran Fan, Shihan Dou, Qi Zhang, Tao Gui, Xuanjing Huang
2024 — conf
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages.
ACL (1)
Junjie Ye, Sixian Li, Guanyu Li, Caishuang Huang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, Xuanjing Huang
2024 J jnl
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages.
CoRR
Junjie Ye, Sixian Li, Guanyu Li, Caishuang Huang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, Xuanjing Huang
2024 J jnl
Toward Optimal LLM Alignments Using Two-Player Games.
CoRR
Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Hang Li, Yang Liu
2024 A* conf
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning.
ICML
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 J jnl
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning.
CoRR
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 A* conf
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities.
EMNLP
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 J jnl
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities.
CoRR
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 J jnl
UniPaint: Unified Space-time Video Inpainting via Mixture-of-Experts.
CoRR
Zhen Wan, Yue Ma, Chenyang Qi, Zhiheng Liu, Tao Gui
2024 — conf
Unveiling Linguistic Regions in Large Language Models.
ACL (1)
Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang
2024 J jnl
Unveiling Linguistic Regions in Large Language Models.
CoRR
Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang
2024 A* conf
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs.
EMNLP
Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs.
CoRR
Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
Visual Explanation for Open-Domain Question Answering With BERT.
IEEE Trans. Vis. Comput. Graph.
Zekai Shao, Shuran Sun, Yuheng Zhao, Siyuan Wang, Zhongyu Wei, Tao Gui, Cagatay Turkay, Siming Chen
2024 J jnl
What's Wrong with Your Code Generated by Large Language Models? An Extensive Study.
CoRR
Shihan Dou, Haoxiang Jia, Shenxi Wu, Huiyuan Zheng, Weikang Zhou, Muling Wu, Mingxu Chai, Jessica Fan, Caishuang Huang, Yunbo Tao, Yan Liu, Enyu Zhou, Ming Zhang, Yuhao Zhou, Yueming Wu, Rui Zheng, Ming Wen, Rongxiang Weng, Jingang Wang, Xunliang Cai, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang
2023 J jnl
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models.
CoRR
Junjie Ye, Xuanting Chen, Nuo Xu, Can Zu, Zekai Shao, Shichun Liu, Yuhan Cui, Zeyang Zhou, Chao Gong, Yang Shen, Jie Zhou, Siming Chen, Tao Gui, Qi Zhang, Xuanjing Huang
2023 — conf
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition.
ACL (Findings)
Limao Xiong, Jie Zhou, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma, Ying Shan
2023 J jnl
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition.
CoRR
Limao Xiong, Jie Zhou, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma, Ying Shan
2023 — conf
Actively Supervised Clustering for Open Relation Extraction.
ACL (1)
Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng, Mingming Sun
2023 J jnl
Actively Supervised Clustering for Open Relation Extraction.
CoRR
Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng, Mingming Sun
2023 — conf
Characterizing the Impacts of Instances on Robustness.
ACL (Findings)
Rui Zheng, Zhiheng Xi, Qin Liu, Wenbin Lai, Tao Gui, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan, Weifeng Ge
2023 — conf
Coarse-to-fine Few-shot Learning for Named Entity Recognition.
ACL (Findings)
Ruotian Ma, Zhang Lin, Xuanting Chen, Xin Zhou, Junzhe Wang, Tao Gui, Qi Zhang, Xiang Gao, Yun Wen Chen
2023 — conf
Connectivity Patterns are Task Embeddings.
ACL (Findings)
Zhiheng Xi, Rui Zheng, Yuansen Zhang, Xuanjing Huang, Zhongyu Wei, Minlong Peng, Mingming Sun, Qi Zhang, Tao Gui
2023 A* conf
Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution.
CVPR
Yixuan Sun, Dongyang Zhao, Zhangyue Yin, Yiwen Huang, Tao Gui, Wenqiang Zhang, Weifeng Ge
2023 — conf
Detecting Adversarial Samples through Sharpness of Loss Landscape.
ACL (Findings)
Rui Zheng, Shihan Dou, Yuhao Zhou, Qin Liu, Tao Gui, Qi Zhang, Zhongyu Wei, Xuanjing Huang, Menghan Zhang
2023 J jnl
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild.
CoRR
Ting Wu, Jingyi Liu, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang
2023 — conf
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model.
ACL (Findings)
Xiao Wang, Weikang Zhou, Qi Zhang, Jie Zhou, Songyang Gao, Junzhe Wang, Menghan Zhang, Xiang Gao, Yunwen Chen, Tao Gui
2023 J jnl
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model.
CoRR
Xiao Wang, Weikang Zhou, Qi Zhang, Jie Zhou, Songyang Gao, Junzhe Wang, Menghan Zhang, Xiang Gao, Yunwen Chen, Tao Gui
2023 — conf
First Demonstration of MWDM-Based 400G-LR4 over 10-km SSMF Supporting 400GE and OTN Dual Rates.
OFC
Dong Wang, Mingqing Zuo, Wei Zhang, Tao Lin, Jiang Sun, Tao Gui, Wupin Zhang, Dawei Ge, Chendi Jiang, Chenggang Liu, Yunbo Li, Changsheng Li, Daheng Lin, Liuyan Han, Dechao Zhang, Xiaodong Duan, Han Li
2023 — conf
First Real-time Demonstration of 200G TFDMA Coherent PON using Ultra-simple ONUs.
OFC
Zhenping Xing, Kuo Zhang, Xi Chen, Qiguang Feng, Keshuang Zheng, Yijia Zhao, Zhen Dong, Ji Zhou, Tao Gui, Zhicheng Ye, Liangchuan Li
2023 J jnl
Flexible Coherent Optical Access: Architectures, Algorithms, and Demonstrations.
CoRR
Ji Zhou, Zhenping Xing, Haide Wang, Kuo Zhang, Xi Chen, Qiguang Feng, Keshuang Zheng, Yijia Zhao, Zhen Dong, Tao Gui, Zhicheng Ye, Liangchuan Li
2023 J jnl
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks.
CoRR
Xuanting Chen, Junjie Ye, Can Zu, Nuo Xu, Rui Zheng, Minlong Peng, Jie Zhou, Tao Gui, Qi Zhang, Xuanjing Huang
2023 J jnl
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning.
CoRR
Rui Zheng, Wei Shen, Yuan Hua, Wenbin Lai, Shihan Dou, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang
2023 — conf
Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information.
EMNLP (Findings)
Wentao Zhou, Jun Zhao, Tao Gui, Qi Zhang, Xuanjing Huang
2023 J jnl
InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction.
CoRR
Xiao Wang, Weikang Zhou, Can Zu, Han Xia, Tianze Chen, Yuansen Zhang, Rui Zheng, Junjie Ye, Qi Zhang, Tao Gui, Jihua Kang, Jingsheng Yang, Siyuan Li, Chunsai Du
2023 J jnl
LLMEval: A Preliminary Study on How to Evaluate Large Language Models.
CoRR
Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang
2023 — conf
Learning "O" Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER.
ACL (1)
Ruotian Ma, Xuanting Chen, Zhang Lin, Xin Zhou, Junzhe Wang, Tao Gui, Qi Zhang, Xiang Gao, Yun Wen Chen
2023 J jnl
LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment.
CoRR
Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Jun Zhao, Wei Shen, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Xiaoran Fan, Shiliang Pu, Jiang Zhu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
2023 — conf
Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback.
EMNLP (Findings)
Wei Shen, Rui Zheng, WenYu Zhan, Jun Zhao, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang
2023 J jnl
Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback.
CoRR
Wei Shen, Rui Zheng, WenYu Zhan, Jun Zhao, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang
2023 J jnl
Making Harmful Behaviors Unlearnable for Large Language Models.
CoRR
Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang
2023 — conf
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization.
ACL (Findings)
Ting Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
2023 J jnl
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization.
CoRR
Ting Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
2023 — conf
Open Set Relation Extraction via Unknown-Aware Training.
ACL (1)
Jun Zhao, Xin Zhao, WenYu Zhan, Qi Zhang, Tao Gui, Zhongyu Wei, Yun Wen Chen, Xiang Gao, Xuanjing Huang
2023 J jnl
Open Set Relation Extraction via Unknown-Aware Training.
CoRR
Jun Zhao, Xin Zhao, WenYu Zhan, Qi Zhang, Tao Gui, Zhongyu Wei, Yunwen Chen, Xiang Gao, Xuanjing Huang
2023 — conf
Orthogonal Subspace Learning for Language Model Continual Learning.
EMNLP (Findings)
Xiao Wang, Tianze Chen, Qiming Ge, Han Xia, Rong Bao, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang
2023 J jnl
Orthogonal Subspace Learning for Language Model Continual Learning.
CoRR
Xiao Wang, Tianze Chen, Qiming Ge, Han Xia, Rong Bao, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang
2023 — conf
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction.
ACL (1)
Jun Zhao, WenYu Zhan, Xin Zhao, Qi Zhang, Tao Gui, Zhongyu Wei, Junzhe Wang, Minlong Peng, Mingming Sun
2023 J jnl
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction.
CoRR
Jun Zhao, WenYu Zhan, Xin Zhao, Qi Zhang, Tao Gui, Zhongyu Wei, Junzhe Wang, Minlong Peng, Mingming Sun
2023 A* conf
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction.
EMNLP
Chong Zhang, Ya Guo, Yi Tu, Huan Chen, Jinyang Tang, Huijia Zhu, Qi Zhang, Tao Gui
2023 J jnl
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction.
CoRR
Chong Zhang, Ya Guo, Yi Tu, Huan Chen, Jinyang Tang, Huijia Zhu, Qi Zhang, Tao Gui
2023 — conf
RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms.
EMNLP (Findings)
Enyu Zhou, Rui Zheng, Zhiheng Xi, Songyang Gao, Xiaoran Fan, Zichu Fei, Jingting Ye, Tao Gui, Qi Zhang, Xuanjing Huang
2023 J jnl
RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms.
CoRR
Enyu Zhou, Rui Zheng, Zhiheng Xi, Songyang Gao, Xiaoran Fan, Zichu Fei, Jingting Ye, Tao Gui, Qi Zhang, Xuanjing Huang
2023 J jnl
Rescue: Ranking LLM Responses to Enhance Reasoning Over Context.
CoRR
Yikun Wang, Rui Zheng, Haoming Li, Qi Zhang, Tao Gui, Fei Liu
2023 — conf
RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification.
EMNLP (Findings)
Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Qi Zhang, Tao Gui, Xuanjing Huang
2023 J jnl
RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification.
CoRR
Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Qi Zhang, Tao Gui, Xuanjing Huang
2023 J jnl
Secrets of RLHF in Large Language Models Part I: PPO.
CoRR
Rui Zheng, Shihan Dou, Songyang Gao, Yuan Hua, Wei Shen, Binghai Wang, Yan Liu, Senjie Jin, Qin Liu, Yuhao Zhou, Limao Xiong, Lu Chen, Zhiheng Xi, Nuo Xu, Wenbin Lai, Minghao Zhu, Cheng Chang, Zhangyue Yin, Rongxiang Weng, Wensen Cheng, Haoran Huang, Tianxiang Sun, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang
2023 — conf
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement.
EMNLP (Findings)
Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, Jia Liu, Tao Gui, Qi Zhang, Xuanjing Huang
2023 J jnl
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement.
CoRR
Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, Tao Gui, Qi Zhang, Xuanjing Huang
2023 J jnl
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models.
CoRR
Xiao Wang, Yuansen Zhang, Tianze Chen, Songyang Gao, Senjie Jin, Xianjun Yang, Zhiheng Xi, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xuanjing Huang
2023 — conf
TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference.
EMNLP (Findings)
Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang
2023 — conf
TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations.
ACL (Findings)
Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Yuran Wang, Yong Ding, Yibo Zhang, Qi Zhang, Xuanjing Huang
2023 J jnl
The Rise and Potential of Large Language Model Based Agents: A Survey.
CoRR
Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wensen Cheng, Qi Zhang, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huang, Tao Gui
2023 — conf
Towards Understanding Omission in Dialogue Summarization.
ACL (1)
Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui
2023 J jnl
Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey.
CoRR
Shihan Dou, Junjie Shan, Haoxiang Jia, Wenhao Deng, Zhiheng Xi, Wei He, Yueming Wu, Tao Gui, Yang Liu, Xuanjing Huang
2023 J jnl
Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths.
CoRR
Bolin Zhu, Xiaoze Liu, Xin Mao, Zhuo Chen, Lingbing Guo, Tao Gui, Qi Zhang
2023 J jnl
Unveiling A Core Linguistic Region in Large Language Models.
CoRR
Jun Zhao, Zhihao Zhang, Yide Ma, Qi Zhang, Tao Gui, Luhui Gao, Xuanjing Huang
2022 — conf
Abstains from Prediction: Towards Robust Relation Extraction in Real World.
CCL
Jun Zhao, Yongxin Zhang, Nuo Xu, Tao Gui, Qi Zhang, Yunwen Chen, Xiang Gao
2022 — conf
An Exploration of Prompt-Based Zero-Shot Relation Extraction Method.
CCL
Jun Zhao, Yuan Hu, Nuo Xu, Tao Gui, Qi Zhang, Yunwen Chen, Xiang Gao
2022 — conf
CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation.
ACL (1)
Zichu Fei, Qi Zhang, Tao Gui, Di Liang, Sirui Wang, Wei Wu, Xuanjing Huang
2022 B conf
Causal Intervention Improves Implicit Sentiment Analysis.
COLING
Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang
2022 J jnl
Causal Intervention Improves Implicit Sentiment Analysis.
CoRR
Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang
2022 A* conf
Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?
EMNLP
Ningyu Xu, Tao Gui, Ruotian Ma, Qi Zhang, Jingting Ye, Menghan Zhang, Xuanjing Huang
2022 J jnl
Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?
CoRR
Ningyu Xu, Tao Gui, Ruotian Ma, Qi Zhang, Jingting Ye, Menghan Zhang, Xuanjing Huang
2022 — conf
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents.
ACL (Findings)
Yicheng Zou, Hongwei Liu, Tao Gui, Junzhe Wang, Qi Zhang, Meng Tang, Haixiang Li, Daniel Wang
2022 J jnl
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents.
CoRR
Yicheng Zou, Hongwei Liu, Tao Gui, Junzhe Wang, Qi Zhang, Meng Tang, Haixiang Li, Daniel Wang
2022 A* conf
Efficient Adversarial Training with Robust Early-Bird Tickets.
EMNLP
Zhiheng Xi, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
2022 J jnl
Efficient Adversarial Training with Robust Early-Bird Tickets.
CoRR
Zhiheng Xi, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
2022 — conf
Flooding-X: Improving BERT's Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning.
ACL (1)
Qin Liu, Rui Zheng, Bao Rong, Jingyi Liu, Zhihua Liu, Zhanzhan Cheng, Liang Qiao, Tao Gui, Qi Zhang, Xuanjing Huang
2022 B conf
LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases.
COLING
Zichu Fei, Xin Zhou, Tao Gui, Qi Zhang, Xuanjing Huang
2022 J jnl
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER.
CoRR
Ruotian Ma, Xuanting Chen, Lin Zhang, Tao Gui, Qi Zhang, Xuanjing Huang
2022 B conf
Less Is Better: Recovering Intended-Feature Subspace to Robustify NLU Models.
COLING
Ting Wu, Tao Gui
2022 J jnl
Less is Better: Recovering Intended-Feature Subspace to Robustify NLU Models.
CoRR
Ting Wu, Tao Gui
2022 — conf
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective.
ACL (1)
Xiao Wang, Shihan Dou, Limao Xiong, Yicheng Zou, Qi Zhang, Tao Gui, Liang Qiao, Zhanzhan Cheng, Xuanjing Huang
2022 J jnl
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective.
CoRR
Xiao Wang, Shihan Dou, Limao Xiong, Yicheng Zou, Qi Zhang, Tao Gui, Liang Qiao, Zhanzhan Cheng, Xuanjing Huang
2022 B conf
Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks.
COLING
Xin Zhou, Ruotian Ma, Yicheng Zou, Xuanting Chen, Tao Gui, Qi Zhang, Xuanjing Huang, Rui Xie, Wei Wu
2022 B conf
PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack.
COLING
Rui Zheng, Rong Bao, Qin Liu, Tao Gui, Qi Zhang, Xuanjing Huang, Rui Xie, Wei Wu
2022 A* conf
ProofInfer: Generating Proof via Iterative Hierarchical Inference.
EMNLP
Zichu Fei, Qi Zhang, Xin Zhou, Tao Gui, Xuanjing Huang
2022 B conf
Read Extensively, Focus Smartly: A Cross-document Semantic Enhancement Method for Visual Documents NER.
COLING
Jun Zhao, Xin Zhao, WenYu Zhan, Tao Gui, Qi Zhang, Liang Qiao, Zhanzhan Cheng, Shiliang Pu
2022 — conf
Real Time 6.4 Tbps (8×800G) SHCD Transmission through 1+8 Multicore Fiber for Co-Packaged Optical-IO Switch Applications.
OFC
Tao Gui, Haoze Du, Keshuang Zheng, Juntao Cao, Shuai Yuan, Chen Yang, Ming Tang, Liangchuan Li
2022 — conf
Robust Lottery Tickets for Pre-trained Language Models.
ACL (1)
Rui Zheng, Bao Rong, Yuhao Zhou, Di Liang, Sirui Wang, Wei Wu, Tao Gui, Qi Zhang, Xuanjing Huang
2022 J jnl
Robust Lottery Tickets for Pre-trained Language Models.
CoRR
Rui Zheng, Rong Bao, Yuhao Zhou, Di Liang, Sirui Wang, Wei Wu, Tao Gui, Qi Zhang, Xuanjing Huang
2022 A* conf
Searching for Optimal Subword Tokenization in Cross-domain NER.
IJCAI
Ruotian Ma, Yiding Tan, Xin Zhou, Xuanting Chen, Di Liang, Sirui Wang, Wei Wu, Tao Gui
2022 J jnl
Searching for Optimal Subword Tokenization in Cross-domain NER.
CoRR
Ruotian Ma, Yiding Tan, Xin Zhou, Xuanting Chen, Di Liang, Sirui Wang, Wei Wu, Tao Gui, Qi Zhang
2022 J jnl
Sentiment-aware multimodal pre-training for multimodal sentiment analysis.
Knowl. Based Syst.
Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Jingyi Zhou, Tao Gui, Qi Zhang, Xuanjing Huang
2022 — conf
Template-free Prompt Tuning for Few-shot NER.
NAACL-HLT
Ruotian Ma, Xin Zhou, Tao Gui, Yiding Tan, Linyang Li, Qi Zhang, Xuanjing Huang
2022 A* conf
TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion.
EMNLP
Xin Zhou, Jinzhu Lu, Tao Gui, Ruotian Ma, Zichu Fei, Yuran Wang, Yong Ding, Yibo Cheung, Qi Zhang, Xuanjing Huang
2022 J jnl
Towards Understanding Omission in Dialogue Summarization.
CoRR
Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Tao Gui, Qi Zhang, Dongsheng Li
2022 J jnl
Uncertainty-Aware Sequence Labeling.
IEEE ACM Trans. Audio Speech Lang. Process.
Jiacheng Ye, Xiang Zhou, Xiaoqing Zheng, Tao Gui, Qi Zhang
2021 — conf
A Relation-Oriented Clustering Method for Open Relation Extraction.
EMNLP (1)
Jun Zhao, Tao Gui, Qi Zhang, Yaqian Zhou
2021 J jnl
A Relation-Oriented Clustering Method for Open Relation Extraction.
CoRR
Jun Zhao, Tao Gui, Qi Zhang, Yaqian Zhou
2021 — conf
A Unified Generative Framework for Various NER Subtasks.
ACL/IJCNLP (1)
Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu
2021 J jnl
A Unified Generative Framework for Various NER Subtasks.
CoRR
Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu
2021 — conf
Heterogeneous Graph Neural Networks for Keyphrase Generation.
EMNLP (1)
Jiacheng Ye, Ruijian Cai, Tao Gui, Qi Zhang
2021 J jnl
Heterogeneous Graph Neural Networks for Keyphrase Generation.
CoRR
Jiacheng Ye, Ruijian Cai, Tao Gui, Qi Zhang
2021 — conf
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining.
EMNLP (1)
Yicheng Zou, Bolin Zhu, Xingwu Hu, Tao Gui, Qi Zhang
2021 J jnl
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining.
CoRR
Yicheng Zou, Bolin Zhu, Xingwu Hu, Tao Gui, Qi Zhang
2021 — conf
One2Set: Generating Diverse Keyphrases as a Set.
ACL/IJCNLP (1)
Jiacheng Ye, Tao Gui, Yichao Luo, Yige Xu, Qi Zhang
2021 J jnl
One2Set: Generating Diverse Keyphrases as a Set.
CoRR
Jiacheng Ye, Tao Gui, Yichao Luo, Yige Xu, Qi Zhang
2021 J jnl
Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models.
CoRR
Xin Zhou, Ruotian Ma, Tao Gui, Yiding Tan, Qi Zhang, Xuanjing Huang
2021 — conf
SENT: Sentence-level Distant Relation Extraction via Negative Training.
ACL/IJCNLP (1)
Ruotian Ma, Tao Gui, Linyang Li, Qi Zhang, Xuanjing Huang, Yaqian Zhou
2021 J jnl
SENT: Sentence-level Distant Relation Extraction via Negative Training.
CoRR
Ruotian Ma, Tao Gui, Linyang Li, Qi Zhang, Yaqian Zhou, Xuanjing Huang
2021 J jnl
Template-free Prompt Tuning for Few-shot NER.
CoRR
Ruotian Ma, Xin Zhou, Tao Gui, Yiding Tan, Qi Zhang, Xuanjing Huang
2021 — conf
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
ACL (demo)
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 J jnl
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
CoRR
Tao Gui, Xiao Wang, Qi Zhang, Qin Liu, Yicheng Zou, Xin Zhou, Rui Zheng, Chong Zhang, Qinzhuo Wu, Jiacheng Ye, Zexiong Pang, Yongxin Zhang, Zhengyan Li, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Bolin Zhu, Shan Qin, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang
2020 A* conf
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with
AAAI
Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang
2020 A* conf
Leveraging Document-Level Label Consistency for Named Entity Recognition.
IJCAI
Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang
2020 — conf
Real-Time Demonstration of 600 Gb/s DP-64QAM Self-Homodyne Coherent Bi-Direction Transmission with Un-Cooled DFB Laser.
OFC
Tao Gui, Xuefeng Wang, Ming Tang, Yi Yu, Yanzhao Lu, Liangchuan Li
2020 — conf
Uncertainty-Aware Label Refinement for Sequence Labeling.
EMNLP (1)
Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, Xuanjing Huang
2020 J jnl
Uncertainty-Aware Label Refinement for Sequence Labeling.
CoRR
Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, Xuanjing Huang
2019 — conf
140-GBaud PAM-4 Transmission Using Optical Band Interleaving, Kramers-Kronig Detection and Volterra Based Equalization.
OECC/PSC
Xiong Wu, Junwei Zhang, Changjian Guo, Jie Liu, Tao Gui, Alan Pak Tao Lau, Chao Lu
2019 — conf
A Lexicon-Based Graph Neural Network for Chinese NER.
EMNLP/IJCNLP (1)
Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang
2019 A* conf
Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection.
SIGIR
Di Liang, Fubao Zhang, Weidong Zhang, Qi Zhang, Jinlan Fu, Minlong Peng, Tao Gui, Xuanjing Huang
2019 A* conf
CNN-Based Chinese NER with Lexicon Rethinking.
IJCAI
Tao Gui, Ruotian Ma, Qi Zhang, Lujun Zhao, Yu-Gang Jiang, Xuanjing Huang
2019 J jnl
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features.
CoRR
Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang
2019 A* conf
Cooperative Multimodal Approach to Depression Detection in Twitter.
AAAI
Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, Zhigang Chen
2019 — conf
Depression Detection on Social Media with Reinforcement Learning.
CCL
Tao Gui, Qi Zhang, Liang Zhu, Xu Zhou, Minlong Peng, Xuanjing Huang
2019 J jnl
Implicit discourse relation detection using concatenated word embeddings and a gated relevance network.
Sci. China Inf. Sci.
Jinlan Fu, Qi Zhang, Jifan Chen, Minlong Peng, Tao Gui, Xipeng Qiu, Xuanjing Huang
2019 A* conf
Learning Task-Specific Representation for Novel Words in Sequence Labeling.
IJCAI
Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang
2019 J jnl
Learning Task-specific Representation for Novel Words in Sequence Labeling.
CoRR
Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang
2019 A* conf
Long Short-Term Memory with Dynamic Skip Connections.
AAAI
Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang
2019 A* conf
Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning.
SIGIR
Tao Gui, Peng Liu, Qi Zhang, Liang Zhu, Minlong Peng, Yunhua Zhou, Xuanjing Huang
2019 — conf
Mining User Profiles from Query Log.
CCIR
Minlong Peng, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang, Jinlan Fu
2019 — conf
Model the Long-Term Post History for Hashtag Recommendation.
NLPCC (1)
Minlong Peng, Qiyuan Bian, Qi Zhang, Tao Gui, Jinlan Fu, Lanjun Zeng, Xuanjing Huang
2019 — conf
Modeling the Long-Term Post History for Personalized Hashtag Recommendation.
CCL
Minlong Peng, Yaosong Lin, Lanjun Zeng, Tao Gui, Qi Zhang
2019 — conf
Signal Processing Techniques for Nonlinear Fourier Transform Systems.
OFC
Gai Zhou, Tao Gui, Terence Chan, Chao Lu, Alan Pak Tao Lau, Ping-Kong Alex Wai
2019 A* conf
Switch-LSTMs for Multi-Criteria Chinese Word Segmentation.
AAAI
Jingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu
2019 A* conf
Trainable Undersampling for Class-Imbalance Learning.
AAAI
Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Xuanjing Huang, Yu-Gang Jiang, Keyu Ding, Zhigang Chen
2018 B conf
A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis.
COLING
Yicheng Zou, Tao Gui, Qi Zhang, Xuanjing Huang
2018 J jnl
Long Short-Term Memory with Dynamic Skip Connections.
CoRR
Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang
2018 J jnl
Switch-LSTMs for Multi-Criteria Chinese Word Segmentation.
CoRR
Jingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu
2018 A* conf
Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging.
EMNLP
Tao Gui, Qi Zhang, Jingjing Gong, Minlong Peng, Di Liang, Keyu Ding, Xuanjing Huang
2017 — conf
4 Bits/symbol phase and amplitude modulation on a single discrete eigenvalue for transmissions based on nonlinear fourier transform.
OFC
Tao Gui, Shun Ka Lo, Xian Zhou, Chao Lu, Alan Pak Tao Lau, Ping-Kong Alex Wai
2017 — conf
50-Gb/s PDM-DMT-SSB transmission over 40km SSMF using a single photodetector in C-band.
OFC
Jiahao Huo, Xian Zhou, Kangping Zhong, Tao Gui, Yiguang Wang, Liang Wang, Jinhui Yuan, Hongyu Zhang, Keping Long, Changyuan Yu, Alan Pak Tao Lau, Chao Lu
2017 J jnl
Correlated Eigenvalues Optical Communications.
CoRR
Wenqi Zhang, Tao Gui, Qun Zhang, Chao Lu, Tanya M. Monro, Terence H. Chan, Alan Pak Tao Lau, Shahraam Afshar V
2017 A* conf
Part-of-Speech Tagging for Twitter with Adversarial Neural Networks.
EMNLP
Tao Gui, Qi Zhang, Haoran Huang, Minlong Peng, Xuanjing Huang
2017 — conf
Recent advances in short reach systems.
OFC
Kangping Zhong, Xian Zhou, Yiguang Wang, Tao Gui, Yanfu Yang, Jinhui Yuan, Liang Wang, Wei Chen, Hongyu Zhang, Jiangwei Man, Li Zeng, Changyuan Yu, Alan Pak Tao Lau, Chao Lu
2016 — conf
Phase modulation on nonlinear discrete spectrum for Nonlinear Frequency Division Multiplexed transmissions.
OFC
Tao Gui, Zhenhua Dong, Chao Lu, Alexander Ping-Kong Wai, Alan Pak Tao Lau
2014 — conf
Delayed self-homodyne detection for OFDM-PON downstream.
OFC
Rong Hu, Tao Gui, Zhaohui Li, Haibo Li, Chao Li, Cai Li, Xiao Xiao, Qi Yang, Shaohua Yu, Xi Chen, William Shieh
2014 — conf
Optical spectrally efficient FDM system for electrical and optical bandwidth saving.
ICC
Izzat Darwazeh, Tongyang Xu, Tao Gui, Yuan Bao, Zhaohui Li
2013 — conf
Optical power monitoring for O-OFDM superchannel based on Wiener deconvolution.
ICAIT
Hongwen Lin, Tao Gui, Yuan Bao, Jianping Li, Zhaohui Li, Gordon Ning Liu
2013 — conf
Ultra-fine optical spectrum microscope using optical channel estimation and spectrum fusion technique.
OFC/NFOEC
Haiyan Shang, Zhaohui Li, Tao Gui, Yuan Bao, Xinhuan Feng, Jianping Li, Hongyan Fu, Dongyu Geng