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- Tao Gui
Fudan University, Shanghai, China
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Publication search results
found 192 matches
- 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): 3779-3797 (2024) - 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: 19615-19622 - 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: 10258-10273 - 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: 4571-4585 - 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: 1932-1945 - 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: 4602-4614 - 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: 14024-14040 - Yikun Wang, Rui Zheng, Haoming Li, Qi Zhang, Tao Gui, Fei Liu:
Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation. ACL (Student Research Workshop) 2024: 365-376 - 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: 2227-2239 - 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: 2181-2211 - 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: 9637-9662 - 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: 9129-9144 - Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang:
Unveiling Linguistic Regions in Large Language Models. ACL (1) 2024: 6228-6247 - 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: 5286-5298 - 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: 14186-14203 - 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: 15410-15421 - 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: 12527-12538 - 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: 10016-10020 - 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 - 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. ICML 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. NAACL-HLT (Findings) 2024: 3829-3845 - 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 abs/2401.00741 (2024) - Jun Zhao, Zhihao Zhang, Luhui Gao, Qi Zhang, Tao Gui, Xuanjing Huang:
LLaMA Beyond English: An Empirical Study on Language Capability Transfer. CoRR abs/2401.01055 (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 abs/2401.06080 (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 abs/2401.08326 (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 abs/2401.15071 (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 abs/2401.17221 (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 abs/2401.17633 (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 abs/2402.01391 (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 abs/2402.02101 (2024)
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