arxiv
PublishedMay 26, 2026 at 4:00 AM
CoRe-Code: Collaborative Reinforcement Learning for Code Generation
Publisher summary· verbatim
arXiv:2605.24812v1 Announce Type: new Abstract: Large language models (LLMs) have achieved strong performance in code generation, but most methods rely on autoregressive decoding without global planning, often leading to locally coherent yet globally suboptimal solutions (e.g., failing test cases or
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Originally published on arxiv ↗