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cs.AI2025
Dual-Evolving Reinforcement Learning for Automated Reward Design
Sitao Cheng, Tianle Li, Xuhan Huang +2
Crafting effective reward signals remains a central challenge in reinforcement learning (RL) for complex reasoning. Existing methods for automated reward optimization search with a…
cs.AI2024★ 1 cited
LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages
Xuhan Huang, Qingning Shen, Yan Hu +2
Large Language Models (LLMs) have demonstrated strong performance across various natural language processing tasks, yet their proficiency in mathematical reasoning remains a key ch…