arXiv cs.CL
· Papers
REFACT: Adaptive Fact Restatement for Compact and Faithful Chain-of-Thought Reasoning
arXiv:2607.20833v2 Announce Type: replace Abstract: Large Language Models (LLMs) increasingly leverage long-form reasoning to solve complex tasks, yet their reasoning processes can deviate from the provided context when evidence is incomplete, noisy, or conflicts with parametric knowledge. Existing grounding approaches