arxiv
PublishedMay 18, 2026 at 4:00 AM
—neutral
ICRL: Learning to Internalize Self-Critique with Reinforcement Learning
Publisher summary· verbatim
arXiv:2605.15224v1 Announce Type: new Abstract: Large language model-based agents make mistakes, yet critique can often guide the same model toward correct behavior. However, when critique is removed, the model may fail again on the same query, indicating that it has not internalized the critique's
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivMTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation1darxivFine-grained Claim-level RAG Benchmark for Law1darxivFix the Structural Bottleneck: Context Compression via Explicit Information Transmission1darxivLinear Dynamics in the RLVR Training of Large Language Models1dThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗