Best AI News — Updated Every 3 Hours
Story Page
← All Stories
Home Papers Story
Papers

When Does In-Context Search Help? A Sampling-Complexity Theory of Reflection-Driven Reasoning

Via ArXiv cs.AI
Thursday, Jul 9, 2026 · 4:00AM
Summary

arXiv:2607.06720v1 Announce Type: new Abstract: Training large language models (LLMs) with extended reasoning has enabled in-context search, in which models iteratively generate, critique, and revise solution attempts. We provide a theoretical analysis of in-context search by modeling it as approxim

Continue reading the full article
Read at ArXiv cs.AI
arxiv.org
Back to all stories