On Transferability of Prompt Tuning for Natural Language Understanding. - YuSheng Su; Xiaozhi Wang; Yujia Qin; Chi-Min Chan; Yankai Lin; Zhiyuan Liu 001; Peng Li 030; Juanzi Li; Lei Hou 001; Maosong Sun 001; Jie Zhou 016 (CoRR, 2021)

On Transferability of Prompt Tuning for Natural Language Processing. - Yusheng Su; Xiaozhi Wang; Yujia Qin; Chi-Min Chan; Yankai Lin; Huadong Wang; Kaiyue Wen; Zhiyuan Liu 001; Peng Li 030; Juanzi Li; Lei Hou 001; Maosong Sun 001; et al. (NAACL-HLT, 2022)

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models. - Ning Ding 002; Yujia Qin; Guang Yang 046; Fuchao Wei; Zonghan Yang; Yusheng Su; Shengding Hu; Yulin Chen; Chi-Min Chan; Weize Chen; Jing Yi; Weilin Zhao; et al. (CoRR, 2022)

Plug-and-Play Document Modules for Pre-trained Models. - Chaojun Xiao; Zhengyan Zhang; Xu Han 007; Chi-Min Chan; Yankai Lin; Zhiyuan Liu 001; Xiangyang Li; Zhonghua Li; Zhao Cao; Maosong Sun 001 (ACL (1), 2023)

Exploring the Impact of Model Scaling on Parameter-Efficient Tuning. - Yusheng Su; Chi-Min Chan; Jiali Cheng; Yujia Qin; Yankai Lin; Shengding Hu; Zonghan Yang; Ning Ding 002; Xingzhi Sun 002; Guotong Xie; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2023)

Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models. - Yusheng Su; Chi-Min Chan; Jiali Cheng; Yujia Qin; Yankai Lin; Shengding Hu; Zonghan Yang; Ning Ding 002; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents. - Weize Chen; Yusheng Su; Jingwei Zuo; Cheng Yang 002; Chenfei Yuan; Chen Qian; Chi-Min Chan; Yujia Qin; Yaxi Lu; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001; et al. (CoRR, 2023)

Parameter-efficient fine-tuning of large-scale pre-trained language models. - Ning Ding 002; Yujia Qin; Guang Yang 046; Fuchao Wei; Zonghan Yang; Yusheng Su; Shengding Hu; Yulin Chen; Chi-Min Chan; Weize Chen; Jing Yi; Weilin Zhao; et al. (Nat. Mac. Intell., 2023)

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. - Chi-Min Chan; Weize Chen; Yusheng Su; Jianxuan Yu; Wei Xue 002; Shanghang Zhang; Jie Fu 001; Zhiyuan Liu 001 (ICLR, 2024)

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors. - Weize Chen; Yusheng Su; Jingwei Zuo; Cheng Yang 002; Chenfei Yuan; Chi-Min Chan; Heyang Yu; Yaxi Lu; Yi-Hsin Hung; Chen Qian; Yujia Qin; Xin Cong; et al. (ICLR, 2024)

RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation. - Chi-Min Chan; Chunpu Xu; Ruibin Yuan; Hongyin Luo; Wei Xue 002; Yike Guo; Jie Fu 001 (CoRR, 2024)

AgentMonitor: A Plug-and-Play Framework for Predictive and Secure Multi-Agent Systems. - Chi-Min Chan; Jianxuan Yu; Weize Chen; Chunyang Jiang; Xinyu Liu; Weijie Shi; Zhiyuan Liu 001; Wei Xue 002; Yike Guo (CoRR, 2024)

HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM Prompts. - Xinyu Liu; Yingqing He; Lanqing Guo; Xiang Li; Bu Jin; Peng Li; Yan Li; Chi-Min Chan; Qifeng Chen; Wei Xue 002; Wenhan Luo; Qifeng Liu; et al. (CoRR, 2024)

EVA: An Embodied World Model for Future Video Anticipation. - Xiaowei Chi; Hengyuan Zhang; Chun-Kai Fan; Xingqun Qi; Rongyu Zhang; Anthony Chen; Chi-Min Chan; Wei Xue 002; Wenhan Luo; Shanghang Zhang; Yike Guo (CoRR, 2024)

Importance Weighting Can Help Large Language Models Self-Improve. - Chunyang Jiang; Chi-Min Chan; Wei Xue 002; Qifeng Liu; Yike Guo (AAAI, 2025)

Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA. - Chi-Min Chan; Chunpu Xu; Junqi Zhu; Jiaming Ji; Donghai Hong; Pengcheng Wen; Chunyang Jiang; Zhen Ye; Yaodong Yang 001; Wei Xue 002; Sirui Han; Yike Guo (ACL (Findings), 2025)

PIP: Perturbation-based Iterative Pruning for Large Language Models. - Yi Cao; Wei-Jie Xu; Yucheng Shen; Weijie Shi; Chi-Min Chan; Jiajie Xu 001 (CoRR, 2025)

Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis. - Zhen Ye; Xinfa Zhu; Chi-Min Chan; Xinsheng Wang; Xu Tan 003; Jiahe Lei; Yi Peng; Haohe Liu; Yizhu Jin; Zheqi Dai; Hongzhan Lin 001; Jianyi Chen; et al. (CoRR, 2025)

ThinkPatterns-21k: A Systematic Study on the Impact of Thinking Patterns in LLMs. - Pengcheng Wen; Jiaming Ji; Chi-Min Chan; Juntao Dai; Donghai Hong; Yaodong Yang 001; Sirui Han; Yike Guo (CoRR, 2025)

Safe RLHF-V: Safe Reinforcement Learning from Human Feedback in Multimodal Large Language Models. - Jiaming Ji; Xinyu Chen; Rui Pan; Han Zhu; Conghui Zhang; Jiahao Li; Donghai Hong; Boyuan Chen 008; Jiayi Zhou; Kaile Wang; Juntao Dai; Chi-Min Chan; et al. (CoRR, 2025)

J1: Exploring Simple Test-Time Scaling for LLM-as-a-Judge. - Chi-Min Chan; Chunpu Xu; Jiaming Ji; Zhen Ye; Pengcheng Wen; Chunyang Jiang; Yaodong Yang 001; Wei Xue 002; Sirui Han; Yike Guo (CoRR, 2025)

Graceful Forgetting in Generative Language Models. - Chunyang Jiang; Chi-Min Chan; Yiyang Cai; Yulong Liu; Wei Xue 002; Yike Guo (CoRR, 2025)

The Mirage of Multimodality: Where Truth is Tested and Honesty Unravels. - Jiaming Ji; Sitong Fang; Wenjing Cao; Jiahao Li; Xuyao Wang; Juntao Dai; Chi-Min Chan; Sirui Han; Yike Guo; Yaodong Yang 001 (CoRR, 2025)