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Cheems Wang
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2020 – today
- 2025
- [c2]Yun Qu, Yuhang Jiang, Boyuan Wang, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji:
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning. AAAI 2025: 20095-20103 - 2024
- [c1]Yuchen Yang, Yingdong Shi, Cheems Wang, Xiantong Zhen, Yuxuan Shi, Jun Xu:
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation. ICML 2024 - [i5]Jiayi Shen, Cheems Wang, Zehao Xiao, Nanne van Noord, Marcel Worring:
GO4Align: Group Optimization for Multi-Task Alignment. CoRR abs/2404.06486 (2024) - [i4]Yuchen Yang, Yingdong Shi, Cheems Wang, Xiantong Zhen, Yuxuan Shi, Jun Xu:
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation. CoRR abs/2406.16282 (2024) - [i3]Cheems Wang, Yiqin Lv, Yixiu Mao, Yun Qu, Yi Xu, Xiangyang Ji:
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation. CoRR abs/2407.19523 (2024) - [i2]Yun Qu, Boyuan Wang, Yuhang Jiang, Jianzhun Shao, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji:
Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration. CoRR abs/2410.02511 (2024) - [i1]Yun Qu, Yuhang Jiang, Boyuan Wang, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji:
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning. CoRR abs/2412.11120 (2024)
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