Improving LLM Reasoning With MCTS-guided Techniques
Large language models (LLMs) improved with Critical Planning Step Learning (CPL) & Step-level Advantage Preference Optimization (Step-APO), boosting general reasoning capabilities across various domains.
This is a Plain English Papers summary of a research paper called MCTS-guided Critical Planning Step Learning and Step-level Advantage for Boosting LLM Reasoning. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter. Overview Large language models (LLMs) can be fine-tuned to develop reasoning capabilities across various domains. Existing methods focus on improving task-specific reasoning, but lack generalization to a broader range of reasoning tasks. This paper introduces two novel techniques to address this challenge: Critical Planning Step Learn...