most citedReward Guidance for Reinforcement Learning Tasks Based on Large Language Models: The LMGT Framework

11 citations · 28 across the 9 of their papers we have counts for

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cs.AI2024★ 4 cited

Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Bootstrapped Prolog-based Chain-of-Thought

Xiaoyu Tan, Yongxin Deng, Xihe Qiu +7

Large language models have demonstrated remarkable capabilities as general-purpose assistants, excelling in a wide range of reasoning tasks and supporting various aspects of daily…