AI RESEARCH
Stepwise Think-Critique: A Unified Framework for Robust and Interpretable LLM Reasoning
arXiv CS.AI
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ArXi:2512.15662v2 Announce Type: replace Human beings solve complex problems through critical thinking, where reasoning and evaluation are intertwined to converge toward correct solutions. However, most existing large language models (LLMs) treat the reasoning and verification as separate processes: they either generate reasoning without explicit self-checking or rely on external verifiers to detect errors post hoc. The former lacks immediate feedback, while the latter increases system complexity and hinders synchronized learning.