arxiv
PublishedApril 29, 2026 at 4:00 AM
▲bullish
Fix Initial Codes and Iteratively Refine Textual Directions Toward Safe Multi-Turn Code Correction
Publisher summary· verbatim
arXiv:2604.23989v1 Announce Type: cross Abstract: Recent work on large language models (LLMs) has emphasized the importance of scaling inference compute. From this perspective, the state-of-the-art method Scattered Forest Search (SFS) has been proposed, employing Monte Carlo Tree Search with careful
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivAn AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response1harxivNavalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training1harxivLarge language model and reinforcement learning based autonomous construction and progress updates1harxivMedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring1hThe Bubble Brief
MON · WED · FRIRead machine-learning insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗