| 2026 | ACL | From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms. | Jinghao Luo, Yuchen Tian, Chuxue Cao, Ziyang Luo, Hongzhan Lin, Kaixin Li, Chuyi Kong, Ruichao Yang, Jing Ma |
| 2025 | ACL | Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning. | Shaobo Wang, Xiangqi Jin, Ziming Wang, Jize Wang, Jiajun Zhang, Kaixin Li, Zichen Wen, Zhong Li, Conghui He, Xuming Hu, Linfeng Zhang |
| 2025 | ACL | AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness. | Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Zhen Ye, Guang Chen, Zhiyong Huang, Jing Ma |
| 2025 | ACL | Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models. | Ziyang Luo, Kaixin Li, Hongzhan Lin, Yuchen Tian, Mohan S. Kankanhalli, Jing Ma |
| 2025 | EMNLP | MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models. | Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Yayue Deng, Jing Ma |
| 2025 | EMNLP | MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique. | Gailun Zeng, Ziyang Luo, Hongzhan Lin, Yuchen Tian, Kaixin Li, Ziyang Gong, Jianxiong Guo, Jing Ma |
| 2025 | ICRA | Robi Butler: Multimodal Remote Interaction with a Household Robot Assistant. | Anxing Xiao, Nuwan Janaka, Tianrun Hu, Anshul Gupta, Kaixin Li, Cunjun Yu, David Hsu |
| 2024 | ACL | InstructCoder: Instruction Tuning Large Language Models for Code Editing. | Kaixin Li, Qisheng Hu, James Xu Zhao, Hui Chen, Yuxi Xie, Tiedong Liu, Michael Shieh, Junxian He |
| 2024 | EMNLP | MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems. | Kaixin Li, Yuchen Tian, Qisheng Hu, Ziyang Luo, Zhiyong Huang, Jing Ma |
| 2017 | ICIP | Subspace clustering via independent subspace analysis network. | Chunchen Su, Zongze Wu, Ming Yin, Kaixin Li, Weijun Sun |