Tao Gui

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 184

Top Venues

Publications

Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang
LLMEval: A Preliminary Study on How to Evaluate Large Language Models. AAAI (2024)
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
StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback. ACL (1) (2024)
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
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities. CoRR (2024)
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
MouSi: Poly-Visual-Expert Vision-Language Models. CoRR (2024)
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
Toward Optimal LLM Alignments Using Two-Player Games. CoRR (2024)
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
What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. CoRR (2024)
Zekai Shao, Shuran Sun, Yuheng Zhao, Siyuan Wang, Zhongyu Wei, Tao Gui, Cagatay Turkay, Siming Chen
Visual Explanation for Open-Domain Question Answering With BERT. IEEE Trans. Vis. Comput. Graph. 30 (7) (2024)
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
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning. CoRR (2024)
Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin
Navigating the OverKill in Large Language Models. ACL (1) (2024)
Rui Zheng, Wei Shen, Yuan Hua, Wenbin Lai, Shihan Dou, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning. ICLR (2024)
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
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition. CoRR (2024)
Ting Wu, Jingyi Liu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild. ACL (1) (2024)
Yuansen Zhang, Xiao Wang, Zhiheng Xi, Han Xia, Tao Gui, Qi Zhang, Xuanjing Huang
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions. CoRR (2024)
Xin Zhou, Yi Lu, Ruotian Ma, Yujian Wei, Tao Gui, Qi Zhang, Xuanjing Huang
Making Harmful Behaviors Unlearnable for Large Language Models. ACL (Findings) (2024)
Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Tao Gui, Qi Zhang, Xuanjing Huang
A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis. ICASSP (2024)
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
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback. CoRR (2024)
Junjie Ye, Sixian Li, Guanyu Li, Caishuang Huang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, Xuanjing Huang
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages. CoRR (2024)
Yuansen Zhang, Xiao Wang, Zhiheng Xi, Han Xia, Tao Gui, Qi Zhang, Xuanjing Huang
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions. LREC/COLING (2024)
Wei He, Shichun Liu, Jun Zhao, Yiwen Ding, Yi Lu, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models. CoRR (2024)
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
SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance. CoRR (2024)
Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. LREC/COLING (2024)
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
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities. CoRR (2024)
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, Yugang Jiang, Xipeng Qiu
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. CoRR (2024)
Jie Wang, Tao Ji, Yuanbin Wu, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang, Xiaoling Wang
Length Generalization of Causal Transformers without Position Encoding. ACL (Findings) (2024)
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
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments. CoRR (2024)
Yuansen Zhang, Xiao Wang, Tianze Chen, Jiayi Fu, Tao Gui, Qi Zhang
P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization. ACL (Findings) (2024)
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
Secrets of RLHF in Large Language Models Part II: Reward Modeling. CoRR (2024)
Shihan Dou, Yan Liu, Enyu Zhou, Tianlong Li, Haoxiang Jia, Limao Xiong, Xin Zhao, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
MetaRM: Shifted Distributions Alignment via Meta-Learning. CoRR (2024)
Junjie Ye, Sixian Li, Guanyu Li, Caishuang Huang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, Xuanjing Huang
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages. ACL (1) (2024)
Jie Wang, Tao Ji, Yuanbin Wu, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang, Xiaoling Wang
Length Generalization of Causal Transformers without Position Encoding. CoRR (2024)
Jun Zhao, Zhihao Zhang, Luhui Gao, Qi Zhang, Tao Gui, Xuanjing Huang
LLaMA Beyond English: An Empirical Study on Language Capability Transfer. CoRR (2024)
Nuo Xu, Jun Zhao, Can Zu, Tao Gui, Qi Zhang, Xuanjing Huang
Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution. CoRR (2024)
Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang
Unveiling Linguistic Regions in Large Language Models. ACL (1) (2024)
Yi Lu, Xin Zhou, Wei He, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
LongHeads: Multi-Head Attention is Secretly a Long Context Processor. CoRR (2024)
Rui Zheng, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals. CoRR (2024)
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
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin. ACL (1) (2024)
Junjie Ye, Guanyu Li, Songyang Gao, Caishuang Huang, Yilong Wu, Sixian Li, Xiaoran Fan, Shihan Dou, Qi Zhang, Tao Gui, Xuanjing Huang
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios. CoRR (2024)
Rui Zheng, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals. LREC/COLING (2024)
Jun Zhao, Can Zu, Hao Xu, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration. CoRR (2024)
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, et al.
InternLM2 Technical Report. CoRR (2024)
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
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model. CoRR (2024)
Ruotian Ma, Xiaolei Wang, Xin Zhou, Jian Li, Nan Du, Tao Gui, Qi Zhang, Xuanjing Huang
Are Large Language Models Good Prompt Optimizers? CoRR (2024)
Huijie Lv, Xiao Wang, Yuansen Zhang, Caishuang Huang, Shihan Dou, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang
CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models. CoRR (2024)
Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. CoRR (2024)
Yuhao Zhou, Wenxiang Chen, Rui Zheng, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang
ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks. LREC/COLING (2024)
Junjie Ye, Nuo Xu, Yikun Wang, Jie Zhou, Qi Zhang, Tao Gui, Xuanjing Huang
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition. CoRR (2024)
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
EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models. CoRR (2024)
Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang
Unveiling Linguistic Regions in Large Language Models. CoRR (2024)
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
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. ACL (1) (2024)
Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin
Navigating the OverKill in Large Language Models. CoRR (2024)
Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning. CoRR (2024)
Bolin Zhu, Xiaoze Liu, Xin Mao, Zhuo Chen, Lingbing Guo, Tao Gui, Qi Zhang
Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths. CoRR (2023)
Wei Shen, Rui Zheng, WenYu Zhan, Jun Zhao, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang
Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback. CoRR (2023)
Jun Zhao, Xin Zhao, WenYu Zhan, Qi Zhang, Tao Gui, Zhongyu Wei, Yun Wen Chen, Xiang Gao, Xuanjing Huang
Open Set Relation Extraction via Unknown-Aware Training. ACL (1) (2023)
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
Secrets of RLHF in Large Language Models Part I: PPO. CoRR (2023)
Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui
Towards Understanding Omission in Dialogue Summarization. ACL (1) (2023)
Limao Xiong, Jie Zhou, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma, Ying Shan
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. ACL (Findings) (2023)
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
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models. CoRR (2023)
Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng, Mingming Sun
Actively Supervised Clustering for Open Relation Extraction. ACL (1) (2023)
Wei Shen, Rui Zheng, WenYu Zhan, Jun Zhao, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang
Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback. EMNLP (Findings) (2023)
Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Qi Zhang, Tao Gui, Xuanjing Huang
RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. CoRR (2023)
Chong Zhang, Ya Guo, Yi Tu, Huan Chen, Jinyang Tang, Huijia Zhu, Qi Zhang, Tao Gui
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction. CoRR (2023)
Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, Tao Gui, Qi Zhang, Xuanjing Huang
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement. CoRR (2023)
Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang
Making Harmful Behaviors Unlearnable for Large Language Models. CoRR (2023)
Jun Zhao, Zhihao Zhang, Yide Ma, Qi Zhang, Tao Gui, Luhui Gao, Xuanjing Huang
Unveiling A Core Linguistic Region in Large Language Models. CoRR (2023)
Xiao Wang, Weikang Zhou, Qi Zhang, Jie Zhou, Songyang Gao, Junzhe Wang, Menghan Zhang, Xiang Gao, Yunwen Chen, Tao Gui
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model. CoRR (2023)
Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang
TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference. EMNLP (Findings) (2023)
Xiao Wang, Tianze Chen, Qiming Ge, Han Xia, Rong Bao, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang
Orthogonal Subspace Learning for Language Model Continual Learning. EMNLP (Findings) (2023)
Chong Zhang, Ya Guo, Yi Tu, Huan Chen, Jinyang Tang, Huijia Zhu, Qi Zhang, Tao Gui
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction. EMNLP (2023)
Ting Wu, Jingyi Liu, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild. CoRR (2023)
Enyu Zhou, Rui Zheng, Zhiheng Xi, Songyang Gao, Xiaoran Fan, Zichu Fei, Jingting Ye, Tao Gui, Qi Zhang, Xuanjing Huang
RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms. EMNLP (Findings) (2023)
Yixuan Sun, Dongyang Zhao, Zhangyue Yin, Yiwen Huang, Tao Gui, Wenqiang Zhang, Weifeng Ge
Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution. CVPR (2023)
Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng, Mingming Sun
Actively Supervised Clustering for Open Relation Extraction. CoRR (2023)
Yikun Wang, Rui Zheng, Haoming Li, Qi Zhang, Tao Gui, Fei Liu
RRescue: Ranking LLM Responses to Enhance Reasoning Over Context. CoRR (2023)
Xuanting Chen, Junjie Ye, Can Zu, Nuo Xu, Rui Zheng, Minlong Peng, Jie Zhou, Tao Gui, Qi Zhang, Xuanjing Huang
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks. CoRR (2023)
Jun Zhao, WenYu Zhan, Xin Zhao, Qi Zhang, Tao Gui, Zhongyu Wei, Junzhe Wang, Minlong Peng, Mingming Sun
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction. ACL (1) (2023)
Jun Zhao, Xin Zhao, WenYu Zhan, Qi Zhang, Tao Gui, Zhongyu Wei, Yunwen Chen, Xiang Gao, Xuanjing Huang
Open Set Relation Extraction via Unknown-Aware Training. CoRR (2023)
Ruotian Ma, Zhang Lin, Xuanting Chen, Xin Zhou, Junzhe Wang, Tao Gui, Qi Zhang, Xiang Gao, Yun Wen Chen
Coarse-to-fine Few-shot Learning for Named Entity Recognition. ACL (Findings) (2023)
Ting Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization. CoRR (2023)
Rui Zheng, Shihan Dou, Yuhao Zhou, Qin Liu, Tao Gui, Qi Zhang, Zhongyu Wei, Xuanjing Huang, Menghan Zhang
Detecting Adversarial Samples through Sharpness of Loss Landscape. ACL (Findings) (2023)
Limao Xiong, Jie Zhou, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma, Ying Shan
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. CoRR (2023)
Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang
LLMEval: A Preliminary Study on How to Evaluate Large Language Models. CoRR (2023)
Zhenping Xing, Kuo Zhang, Xi Chen, Qiguang Feng, Keshuang Zheng, Yijia Zhao, Zhen Dong, Ji Zhou, Tao Gui, Zhicheng Ye, Liangchuan Li
First Real-time Demonstration of 200G TFDMA Coherent PON using Ultra-simple ONUs. OFC (2023)
Rui Zheng, Zhiheng Xi, Qin Liu, Wenbin Lai, Tao Gui, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan, Weifeng Ge
Characterizing the Impacts of Instances on Robustness. ACL (Findings) (2023)
Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, Jia Liu, Tao Gui, Qi Zhang, Xuanjing Huang
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement. EMNLP (Findings) (2023)
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
LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment. CoRR (2023)
Ji Zhou, Zhenping Xing, Haide Wang, Kuo Zhang, Xi Chen, Qiguang Feng, Keshuang Zheng, Yijia Zhao, Zhen Dong, Tao Gui, Zhicheng Ye, Liangchuan Li
Flexible Coherent Optical Access: Architectures, Algorithms, and Demonstrations. CoRR (2023)
Xiao Wang, Weikang Zhou, Qi Zhang, Jie Zhou, Songyang Gao, Junzhe Wang, Menghan Zhang, Xiang Gao, Yunwen Chen, Tao Gui
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model. ACL (Findings) (2023)
Zhiheng Xi, Rui Zheng, Yuansen Zhang, Xuanjing Huang, Zhongyu Wei, Minlong Peng, Mingming Sun, Qi Zhang, Tao Gui
Connectivity Patterns are Task Embeddings. ACL (Findings) (2023)
Rui Zheng, Wei Shen, Yuan Hua, Wenbin Lai, Shihan Dou, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning. CoRR (2023)
Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Yuran Wang, Yong Ding, Yibo Zhang, Qi Zhang, Xuanjing Huang
TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations. ACL (Findings) (2023)
Ruotian Ma, Xuanting Chen, Zhang Lin, Xin Zhou, Junzhe Wang, Tao Gui, Qi Zhang, Xiang Gao, Yun Wen Chen
Learning "O" Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER. ACL (1) (2023)
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
First Demonstration of MWDM-Based 400G-LR4 over 10-km SSMF Supporting 400GE and OTN Dual Rates. OFC (2023)
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
InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction. CoRR (2023)
Enyu Zhou, Rui Zheng, Zhiheng Xi, Songyang Gao, Xiaoran Fan, Zichu Fei, Jingting Ye, Tao Gui, Qi Zhang, Xuanjing Huang
RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms. CoRR (2023)
Xiao Wang, Tianze Chen, Qiming Ge, Han Xia, Rong Bao, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang
Orthogonal Subspace Learning for Language Model Continual Learning. CoRR (2023)
Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Qi Zhang, Tao Gui, Xuanjing Huang
RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. EMNLP (Findings) (2023)
Ting Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization. ACL (Findings) (2023)
Jun Zhao, WenYu Zhan, Xin Zhao, Qi Zhang, Tao Gui, Zhongyu Wei, Junzhe Wang, Minlong Peng, Mingming Sun
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction. CoRR (2023)
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 Huan, Tao Gui
The Rise and Potential of Large Language Model Based Agents: A Survey. CoRR (2023)

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Publication Activity (10 Years)

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Tao Gui