Thoughts-as-Planning: Latent World Models for Chain-of-Thoughts Optimization via Reinforcement Planning
Dong Liu, Yang Yu, Ying Nian Wu
This paper introduces a framework for optimizing reasoning chains in LLMs by modeling them as sequential decisions in a latent space, showing improved efficiency and interpretability.
bioRxiv · May 15, 2026 · PreprintNeuroscience