Papers by Xingjin Wang
Entropy Scheduling in Reinforcement Learning for Large Language Models (2026.findings-acl)
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| Challenge: | entropy in reinforcement learning functions analogously to the learning rate in LLMs. |
| Approach: | They propose an entropy scheduling system that optimizes different pre-set goals by controlling and scheduling entropicy at each step of the RL process. |
| Outcome: | The proposed method improves AIME2024 from 50.9 to 54.9 within 40 training steps. |
LDM2: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement (2023.findings-emnlp)
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| Challenge: | Extensive experiments conducted in two interactive environments have shown that our LDM2 outperforms the baselines in terms of both score and success rate. |
| Approach: | They propose a large decision model with memory that leverages a dynamic memory mechanism to construct dynamic prompts, guiding the LLMs in making proper decisions according to the faced state. |
| Outcome: | The proposed model outperforms baseline models in two interactive environments in terms of score and success rate. |