Learning Faithful Reasoning Processes with Spatio-Temporal Latent Dynamics for Large Language Models.

arXiv:2605.26893v2 Announce Type: replace-cross Abstract: Chain-of-Thought (CoT) reasoning has significantly enhanced the reasoning capabilities of large language models (LLMs). However, existing reinforcement learning methods primarily optimize outcome-level