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- affiliation: Fudan University, Shanghai, China
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2020 – today
- 2024
[j4]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)- [c100]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 - [c99]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 - [c98]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 - [c97]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 - [c96]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 - [c95]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 - [c94]Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang:
Unveiling Linguistic Regions in Large Language Models. ACL (1) 2024: 6228-6247 - [c93]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 - [c92]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 - [c91]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 - [c90]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 - [c89]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 - [c88]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 - [c87]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 - [c86]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 - [c85]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 - [c84]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 - [c83]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 - [c82]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 - [i86]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) - [i85]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) - [i84]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) - [i83]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) - [i82]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) - [i81]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) - [i80]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) - [i79]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) - [i78]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) - [i77]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 abs/2402.05808 (2024) - [i76]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 abs/2402.10685 (2024) - [i75]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 abs/2402.10753 (2024) - [i74]Nuo Xu, Jun Zhao, Can Zu, Sixian Li, Lu Chen, Zhihao Zhang, Rui Zheng, Shihan Dou, Wenjuan Qin, Tao Gui, Qi Zhang, Xuanjing Huang:
Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution. CoRR abs/2402.11525 (2024) - [i73]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 abs/2402.11550 (2024) - [i72]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 abs/2402.12226 (2024) - [i71]Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang:
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. CoRR abs/2402.14536 (2024) - [i70]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 abs/2402.14568 (2024) - [i69]Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang:
Unveiling Linguistic Regions in Large Language Models. CoRR abs/2402.14700 (2024) - [i68]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 abs/2402.16431 (2024) - [i67]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 abs/2402.16717 (2024) - [i66]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 abs/2403.12171 (2024) - [i65]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 abs/2403.16176 (2024) - [i64]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 abs/2403.17297 (2024) - [i63]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 abs/2404.00884 (2024) - [i62]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 abs/2404.12224 (2024) - [i61]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 abs/2405.00438 (2024) - [i60]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 abs/2406.04151 (2024) - [i59]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 abs/2406.10977 (2024) - [i58]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 abs/2406.11192 (2024) - [i57]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 abs/2406.12030 (2024) - [i56]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 abs/2406.18118 (2024) - [i55]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 abs/2407.06153 (2024) - [i54]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 abs/2407.21693 (2024) - 2023
- [c81]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: 100-113 - [c80]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: 555-568 - [c79]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: 1375-1386 - [c78]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: 2314-2332 - [c77]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: 4115-4129 - [c76]Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng, Mingming Sun:
Actively Supervised Clustering for Open Relation Extraction. ACL (1) 2023: 4985-4997 - [c75]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: 5459-5473 - [c74]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: 5959-5979 - [c73]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: 6680-6691 - [c72]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: 9453-9467 - [c71]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: 11282-11298 - [c70]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: 11993-12013 - [c69]Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui:
Towards Understanding Omission in Dialogue Summarization. ACL (1) 2023: 14268-14286 - [c68]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: 17787-17796 - [c67]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: 270-277 - [c66]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: 2859-2873 - [c65]Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang:
TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference. EMNLP (Findings) 2023: 3749-3762 - [c64]Wentao Zhou, Jun Zhao, Tao Gui, Qi Zhang, Xuanjing Huang:
Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information. EMNLP (Findings) 2023: 6491-6502 - [c63]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: 10262-10274 - [c62]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: 10658-10671 - [c61]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: 11383-11406 - [c60]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: 13716-13730 - [c59]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: 1-3 - [c58]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: 1-3 - [i53]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 abs/2303.00293 (2023) - [i52]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 abs/2303.10420 (2023) - [i51]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 abs/2304.08085 (2023) - [i50]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 abs/2305.07085 (2023) - [i49]Ting Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang:
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization. CoRR abs/2305.12123 (2023) - [i48]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 abs/2305.12485 (2023) - [i47]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 abs/2305.12816 (2023) - [i46]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 abs/2305.14497 (2023) - [i45]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 abs/2306.04950 (2023) - [i44]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 abs/2306.04954 (2023) - [i43]Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng, Mingming Sun:
Actively Supervised Clustering for Open Relation Extraction. CoRR abs/2306.04968 (2023) - [i42]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 abs/2307.04964 (2023) - [i41]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 abs/2308.01046 (2023) - [i40]Shihan Dou, Junjie Shan, Haoxiang Jia, Wenhao Deng, Zhiheng Xi, Wei He, Yueming Wu, Tao Gui, Yang Liu, Xuanjing Huang:
Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey. CoRR abs/2308.01191 (2023) - [i39]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:
The Rise and Potential of Large Language Model Based Agents: A Survey. CoRR abs/2309.07864 (2023) - [i38]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 abs/2310.05199 (2023) - [i37]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 abs/2310.05364 (2023) - [i36]Xiao Wang, Yuansen Zhang, Tianze Chen, Songyang Gao, Senjie Jin, Xianjun Yang, Zhiheng Xi, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xuanjing Huang:
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models. CoRR abs/2310.06762 (2023) - [i35]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 abs/2310.09596 (2023) - [i34]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 abs/2310.11016 (2023) - [i33]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 abs/2310.11227 (2023) - [i32]Rui Zheng, Wei Shen, Yuan Hua,