Hugging Face Trending Papers June 2, 2026

Learn from Your Mistakes: Tree-like Self-Play for Secure Code LLMs

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While Large Language Models (LLMs) excel in code generation, they remain prone to replicating subtle yet critical vulnerabilities endemic to their training data. Current alignment techniques, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL), typically apply coarse-grained optimization at the sequence level.

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Learn from Your Mistakes: Tree-like Self-Play for Secure Code LLMs

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