Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation. - Yuchen Yang; Yingdong Shi; Cheems Wang; Xiantong Zhen; Yuxuan Shi; Jun Xu 019 (ICML, 2024)

GO4Align: Group Optimization for Multi-Task Alignment. - Jiayi Shen; Cheems Wang; Zehao Xiao; Nanne van Noord; Marcel Worring (CoRR, 2024)

Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation. - Cheems Wang; Yiqin Lv; Yixiu Mao; Yun Qu 002; Yi Xu 008; Xiangyang Ji (CoRR, 2024)

Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration. - Yun Qu 002; Boyuan Wang; Yuhang Jiang; Jianzhun Shao; Yixiu Mao; Cheems Wang; Chang Liu 030; Xiangyang Ji (CoRR, 2024)

Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning. - Yun Qu 002; Yuhang Jiang; Boyuan Wang; Yixiu Mao; Cheems Wang; Chang Liu 030; Xiangyang Ji (AAAI, 2025)

DynaPrompt: Dynamic Test-Time Prompt Tuning. - Zehao Xiao; Shilin Yan; Jack Hong; Jiayin Cai; Xiaolong Jiang; Yao Hu 002; Jiayi Shen; Cheems Wang; Cees G. M. Snoek (ICLR, 2025)