Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision
The author proposes a novel framework, TRAD, to enhance Large Language Model (LLM) agents by utilizing step-wise thought retrieval and aligned decision methods. TRAD outperforms existing models by reducing noise and improving generalization.
