Chi-Min Chan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
6
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning. | Yujin Zhou, Pengcheng Wen, Jiale Chen, Boqin Yin, Han Zhu, Jiaming Ji, Juntao Dai, Chi-Min Chan, Sirui Han |
| 2026 | ACL | Glance-or-Gaze: Incentivizing LMMs to Adaptively Focus Search via Reinforcement Learning. | Hongbo Bai, Yujin Zhou, Yile Wu, Chi-Min Chan, Pengcheng Wen, Kunhao Pan, Sirui Han, Yike Guo |
| 2026 | ACL | Benchmarking Fine-Grained Error Detection in Multimodal Reasoning. | Chi-Min Chan, Han Zhu, Chunyang Jiang, Jiaming Ji, Juntao Dai, Wei Xue, Sirui Han, Yike Guo |
| 2026 | ACL | Omni-RewardBench: Toward a Comprehensive Evaluation of Generative Reward Models Across Modalities. | Chi-Min Chan, Yujin Zhou, Pengcheng Wen, Boqin Yin, Jiaming Ji, Juntao Dai, Wei Xue, Sirui Han, Yike Guo |
| 2026 | ACL | When Slower Isn't Truer: Inverse Scaling Law of Truthfulness in Multimodal Reasoning. | Sitong Fang, Wenjing Cao, Jiahao Li, Xuyao Wang, Chi-Min Chan, Sirui Han, Juntao Dai, Yike Guo, Yaodong Yang, Jiaming Ji |
| 2026 | ACL | SafeMT: Multi-turn Safety for Multimodal Language Models. | Han Zhu, Juntao Dai, Jiaming Ji, Haoran Li, Chengkun Cai, Pengcheng Wen, Chi-Min Chan, Boyuan Chen, Yaodong Yang, Sirui Han, Yike Guo |
| 2025 | AAAI | Importance Weighting Can Help Large Language Models Self-Improve. | Chunyang Jiang, Chi-Min Chan, Wei Xue, Qifeng Liu, Yike Guo |
| 2025 | ACL | 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, Wei Xue, Sirui Han, Yike Guo |
| 2025 | EMNLP | PIP: Perturbation-based Iterative Pruning for Large Language Models. | Yi Cao, Wei-Jie Xu, Yucheng Shen, Weijie Shi, Chi-Min Chan, Jianfeng Qu, Jiajie Xu |
| 2025 | EMNLP | Graceful Forgetting in Generative Language Models. | Chunyang Jiang, Chi-Min Chan, Yiyang Cai, Yulong Liu, Wei Xue, Yike Guo |
| 2025 | ICML | Empowering World Models with Reflection for Embodied Video Prediction. | Xiaowei Chi, Chun-Kai Fan, Hengyuan Zhang, Xingqun Qi, Rongyu Zhang, Anthony Chen, Chi-Min Chan, Wei Xue, Qifeng Liu, Shanghang Zhang, Yike Guo |
| 2024 | ICLR | ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. | Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu |
| 2024 | ICLR | AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors. | Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, Yujia Qin, Xin Cong, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou |
| 2023 | ACL | Plug-and-Play Document Modules for Pre-trained Models. | Chaojun Xiao, Zhengyan Zhang, Xu Han, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Xiangyang Li, Zhonghua Li, Zhao Cao, Maosong Sun |
| 2023 | EMNLP | 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, Xingzhi Sun, Guotong Xie, Zhiyuan Liu, Maosong Sun |
| 2022 | NAACL | 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, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou |