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ORCIDXuanjing Huang 0001
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- affiliation: Fudan University, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai, China
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2020 – today
- 2025
[j33]Yuxin Wang
, Xiannian Hu, Quan Gan, Xuanjing Huang, Xipeng Qiu, David Wipf:
Efficient Link Prediction via GNN Layers Induced by Negative Sampling. IEEE Trans. Knowl. Data Eng. 37(1): 253-264 (2025)- 2024
- [j32]Tianxiang Sun, Xiaotian Zhang, Zhengfu He, Peng Li, Qinyuan Cheng, Xiangyang Liu, Hang Yan, Yunfan Shao, Qiong Tang, Shiduo Zhang, Xingjian Zhao, Ke Chen, Yining Zheng, Zhejian Zhou, Ruixiao Li, Jun Zhan, Yunhua Zhou, Linyang Li, Xiaogui Yang, Lingling Wu, Zhangyue Yin, Xuanjing Huang, Yu-Gang Jiang, Xipeng Qiu:
MOSS: An Open Conversational Large Language Model. Mach. Intell. Res. 21(5): 888-905 (2024) - [j31]Tianxiang Sun, Xiaotian Zhang, Zhengfu He, Peng Li, Qinyuan Cheng, Xiangyang Liu, Hang Yan, Yunfan Shao, Qiong Tang, Shiduo Zhang, Xingjian Zhao, Ke Chen, Yining Zheng, Zhejian Zhou, Ruixiao Li, Jun Zhan, Yunhua Zhou, Linyang Li, Xiaogui Yang, Lingling Wu, Zhangyue Yin, Xuanjing Huang, Yu-Gang Jiang, Xipeng Qiu:
Correction to: MOSS: An Open Conversational Large Language Model. Mach. Intell. Res. 21(6): 1216 (2024) - [j30]Yu Zong, Yuxin Wang, Xipeng Qiu, Xuanjing Huang, Liang Qiao:
Deep learning prediction of glycopeptide tandem mass spectra powers glycoproteomics. Nat. Mac. Intell. 6(8): 950-961 (2024) - [j29]Jie Zhou, Yuanbiao Lin, Qin Chen, Qi Zhang, Xuanjing Huang, Liang He:
CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 830-840 (2024) - [c358]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 - [c357]Mengfei Du, Binhao Wu, Zejun Li, Xuanjing Huang, Zhongyu Wei:
EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models. ACL (Short Papers) 2024: 346-355 - [c356]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 - [c355]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 - [c354]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 - [c353]Xinnong Zhang, Haoyu Kuang, Xinyi Mou, Hanjia Lyu, Kun Wu, Siming Chen, Jiebo Luo, Xuanjing Huang, Zhongyu Wei:
SoMeLVLM: A Large Vision Language Model for Social Media Processing. ACL (Findings) 2024: 2366-2389 - [c352]Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Junqi Dai, Qinyuan Cheng, Xuanjing Huang, Xipeng Qiu:
Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance. ACL (1) 2024: 2401-2416 - [c351]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 - [c350]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 - [c349]Xinyi Mou, Zhongyu Wei, Xuanjing Huang:
Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation. ACL (Findings) 2024: 4789-4809 - [c348]Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang:
Unveiling Linguistic Regions in Large Language Models. ACL (1) 2024: 6228-6247 - [c347]Siyin Wang, Shimin Li, Tianxiang Sun, Jinlan Fu, Qinyuan Cheng, Jiasheng Ye, Junjie Ye, Xipeng Qiu, Xuanjing Huang:
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation. ACL (Findings) 2024: 6632-6646 - [c346]Yuhang Lai, Siyuan Wang, Shujun Liu, Xuanjing Huang, Zhongyu Wei:
ALaRM: Align Language Models via Hierarchical Rewards Modeling. ACL (Findings) 2024: 7817-7831 - [c345]Yu Sun, Keyuchen Keyuchen, Shujie Wang, Peiji Li, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin:
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods. ACL (1) 2024: 9348-9369 - [c344]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 - [c343]Wenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang:
Aligning Large Language Models with Human Preferences through Representation Engineering. ACL (1) 2024: 10619-10638 - [c342]Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang:
Advancing Parameter Efficiency in Fine-tuning via Representation Editing. ACL (1) 2024: 13445-13464 - [c341]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 - [c340]Jingcong Liang, Rong Ye, Meng Han, Ruofei Lai, Xinyu Zhang, Xuanjing Huang, Zhongyu Wei:
Debatrix: Multi-dimensional Debate Judge with Iterative Chronological Analysis Based on LLM. ACL (Findings) 2024: 14575-14595 - [c339]Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Tianxiang Sun, Cheng Chang, Qinyuan Cheng, Ding Wang, Xiaofeng Mou, Xipeng Qiu, Xuanjing Huang:
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. LREC/COLING 2024: 609-625 - [c338]Mengfei Du, Binhao Wu, Jiwen Zhang, Zhihao Fan, Zejun Li, Ruipu Luo, Xuanjing Huang, Zhongyu Wei:
DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive Learning. LREC/COLING 2024: 4605-4616 - [c337]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 - [c336]Libo Sun, Siyuan Wang, Meng Han, Ruofei Lai, Xinyu Zhang, Xuanjing Huang, Zhongyu Wei:
Multi-Objective Forward Reasoning and Multi-Reward Backward Refinement for Product Review Summarization. LREC/COLING 2024: 11944-11955 - [c335]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 - [c334]Kun Wu, Xinyi Mou, Lanqing Xue, Zhenzhe Ying, Weiqiang Wang, Qi Zhang, Xuanjing Huang, Zhongyu Wei:
PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph. LREC/COLING 2024: 12644-12656 - [c333]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 - [c332]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 - [c331]Shengbin Yue, Shujun Liu, Yuxuan Zhou, Chenchen Shen, Siyuan Wang, Yao Xiao, Bingxuan Li, Yun Song, Xiaoyu Shen, Wei Chen, Xuanjing Huang, Zhongyu Wei:
LawLLM: Intelligent Legal System with Legal Reasoning and Verifiable Retrieval. DASFAA (5) 2024: 304-321 - [c330]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. EMNLP 2024: 313-333 - [c329]Binghai Wang, Rui Zheng, Lu Chen, Zhiheng Xi, Wei Shen, Yuhao Zhou, Dong Yan, Tao Gui, Qi Zhang, Xuanjing Huang:
Reward Modeling Requires Automatic Adjustment Based on Data Quality. EMNLP (Findings) 2024: 4041-4064 - [c328]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. EMNLP (Findings) 2024: 7136-7148 - [c327]Han Xia, Songyang Gao, Qiming Ge, Zhiheng Xi, Qi Zhang, Xuanjing Huang:
Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data. EMNLP (Findings) 2024: 8178-8188 - [c326]Qin Zhu, Qinyuan Cheng, Runyu Peng, Xiaonan Li, Ru Peng, Tengxiao Liu, Xipeng Qiu, Xuanjing Huang:
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation. EMNLP (Findings) 2024: 9113-9129 - [c325]Jianhao Zhu, Changze Lv, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang:
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA. EMNLP (Findings) 2024: 10501-10512 - [c324]Yue Zhang, Zhihao Zhang, Wenbin Lai, Chong Zhang, Tao Gui, Qi Zhang, Xuanjing Huang:
PDF-to-Tree: Parsing PDF Text Blocks into a Tree. EMNLP (Findings) 2024: 10704-10714 - [c323]Jiahao Ying, Mingbao Lin, Yixin Cao, Wei Tang, Bo Wang, Qianru Sun, Xuanjing Huang, Shuicheng Yan:
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement. EMNLP (Findings) 2024: 11185-11208 - [c322]Xingyu Lu, Xiaonan Li, Qinyuan Cheng, Kai Ding, Xuanjing Huang, Xipeng Qiu:
Scaling Laws for Fact Memorization of Large Language Models. EMNLP (Findings) 2024: 11263-11282 - [c321]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. EMNLP 2024: 12750-12771 - [c320]Lu Chen, Rui Zheng, Binghai Wang, Senjie Jin, Caishuang Huang, Junjie Ye, Zhihao Zhang, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang:
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning. EMNLP 2024: 15270-15283 - [c319]Jun Zhao, Can Zu, Xu Hao, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang:
LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration. EMNLP 2024: 16310-16324 - [c318]Jun Zhao, Jingqi Tong, Yurong Mou, Ming Zhang, Qi Zhang, Xuanjing Huang:
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems. EMNLP 2024: 16361-16376 - [c317]Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang:
Explicit Memory Learning with Expectation Maximization. EMNLP 2024: 16618-16635 - [c316]Xiaohua Wang, Zhenghua Wang, Xuan Gao, Feiran Zhang, Yixin Wu, Zhibo Xu, Tianyuan Shi, Zhengyuan Wang, Shizheng Li, Qi Qian, Ruicheng Yin, Changze Lv, Xiaoqing Zheng, Xuanjing Huang:
Searching for Best Practices in Retrieval-Augmented Generation. EMNLP 2024: 17716-17736 - [c315]Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang:
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs. EMNLP 2024: 17905-17923 - [c314]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 - [c313]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 - [c312]Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li:
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks. ICML 2024 - [c311]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 - [c310]Zejun Li, Ye Wang, Mengfei Du, Qingwen Liu, Binhao Wu, Jiwen Zhang, Chengxing Zhou, Zhihao Fan, Jie Fu, Jingjing Chen, Zhongyu Wei, Xuanjing Huang:
ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks. ACM Multimedia 2024: 1971-1980 - [c309]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 - [c308]Chenchen Shen, Chengwei Ji, Shengbin Yue, Xiaoyu Shen, Yun Song, Xuanjing Huang, Zhongyu Wei:
Empowering LLMs for Long-Text Information Extraction in Chinese Legal Documents. NLPCC (1) 2024: 457-469 - [i239]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) - [i238]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) - [i237]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) - [i236]Tianlong Li, Xiaoqing Zheng, Xuanjing Huang:
Open the Pandora's Box of LLMs: Jailbreaking LLMs through Representation Engineering. CoRR abs/2401.06824 (2024) - [i235]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) - [i234]Yu Sun, Keyu Chen, Shujie Wang, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin:
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods. CoRR abs/2401.14869 (2024) - [i233]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) - [i232]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) - [i231]Wei Chen, Hengxu Lin, Qun Zhang, Xiaojin Zhang, Xiang Bai, Xuanjing Huang, Zhongyu Wei:
CauESC: A Causal Aware Model for Emotional Support Conversation. CoRR abs/2401.17755 (2024) - [i230]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) - [i229]Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li:
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks. CoRR abs/2402.01533 (2024) - [i228]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) - [i227]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) - [i226]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) - [i225]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) - [i224]Siyin Wang, Shimin Li, Tianxiang Sun, Jinlan Fu, Qinyuan Cheng, Jiasheng Ye, Junjie Ye, Xipeng Qiu, Xuanjing Huang:
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation. CoRR abs/2402.11251 (2024) - [i223]Siyuan Wang, Zhuohan Long, Zhihao Fan, Zhongyu Wei, Xuanjing Huang:
Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation. CoRR abs/2402.11443 (2024) - [i222]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) - [i221]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) - [i220]Xinnong Zhang, Haoyu Kuang, Xinyi Mou, Hanjia Lyu, Kun Wu, Siming Chen, Jiebo Luo, Xuanjing Huang, Zhongyu Wei:
SoMeLVLM: A Large Vision Language Model for Social Media Processing. CoRR abs/2402.13022 (2024) - [i219]Ningyu Xu, Qi Zhang, Menghan Zhang, Peng Qian, Xuanjing Huang:
On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe. CoRR abs/2402.14404 (2024) - [i218]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) - [i217]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) - [i216]Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang:
Unveiling Linguistic Regions in Large Language Models. CoRR abs/2402.14700 (2024) - [i215]Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang:
Advancing Parameter Efficiency in Fine-tuning via Representation Editing. CoRR abs/2402.15179 (2024) - [i214]Xinyi Mou, Zhongyu Wei, Xuanjing Huang:
Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation. CoRR abs/2402.16333 (2024) - [i213]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) - [i212]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) - [i211]Yuhang Lai, Siyuan Wang, Shujun Liu, Xuanjing Huang, Zhongyu Wei:
ALaRM: Align Language Models via Hierarchical Rewards Modeling. CoRR abs/2403.06754 (2024) - [i210]Jingcong Liang, Rong Ye, Meng Han, Ruofei Lai, Xinyu Zhang, Xuanjing Huang, Zhongyu Wei:
Debatrix: Multi-dimensinal Debate Judge with Iterative Chronological Analysis Based on LLM. CoRR abs/2403.08010 (2024) - [i209]Cenyuan Zhang, Xiaoqing Zheng, Ruicheng Yin, Shujie Geng, Jianhan Xu, Xuan Gao, Changze Lv, Zixuan Ling, Xuanjing Huang, Miao Cao, Jianfeng Feng:
Decoding Continuous Character-based Language from Non-invasive Brain Recordings. CoRR abs/2403.11183 (2024) - [i208]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) - [i207]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) - [i206]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) - [i205]Mengfei Du, Binhao Wu, Jiwen Zhang, Zhihao Fan, Zejun Li, Ruipu Luo, Xuanjing Huang, Zhongyu Wei:
DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive Learning. CoRR abs/2404.01994 (2024) - [i204]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) - [i203]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) - [i202]Jun Zhao, Jingqi Tong, Yurong Mou, Ming Zhang, Qi Zhang, Xuanjing Huang:
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning. CoRR abs/2405.06680 (2024) - [i201]Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Tianxiang Sun, Cheng Chang, Qinyuan Cheng, Ding Wang, Xiaofeng Mou, Xipeng Qiu, Xuanjing Huang:
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. CoRR abs/2405.12939 (2024) - [i200]Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li:
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators. CoRR abs/2405.14362 (2024) - [i199]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) - [i198]Mengfei Du, Binhao Wu, Zejun Li, Xuanjing Huang, Zhongyu Wei:
EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models. CoRR abs/2406.05756 (2024) - [i197]Jianhao Zhu, Changze Lv, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang:
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA. CoRR abs/2406.10976 (2024) - [i196]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) - [i195]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) - [i194]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) - [i193]Qin Zhu, Qinyuan Cheng, Runyu Peng, Xiaonan Li, Tengxiao Liu, Ru Peng, Xipeng Qiu, Xuanjing Huang:
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation. CoRR abs/2406.13990 (2024) - [i192]Jingcong Liang, Junlong Wang, Xinyu Zhai, Yungui Zhuang, Yiyang Zheng, Xin Xu, Xiandong Ran, Xiaozheng Dong, Honghui Rong, Yanlun Liu, Hao Chen, Yuhan Wei, Donghai Li, Jiajie Peng, Xuanjing Huang, Chongde Shi, Yansong Feng, Yun Song, Zhongyu Wei:
Overview of the CAIL 2023 Argument Mining Track. CoRR abs/2406.14503 (2024) - [i191]Siyin Wang, Xingsong Ye, Qinyuan Cheng, Junwen Duan, Shimin Li, Jinlan Fu, Xipeng Qiu, Xuanjing Huang:
Cross-Modality Safety Alignment. CoRR abs/2406.15279 (2024) - [i190]Xingyu Lu, Xiaonan Li, Qinyuan Cheng, Kai Ding, Xuanjing Huang, Xipeng Qiu:
Scaling Laws for Fact Memorization of Large Language Models. CoRR abs/2406.15720 (2024) - [i189]