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Tree-like Self-Play Framework Teaches LLMs to Fix Security Flaws in Code Generation

Artificial Intelligence #ai#llm

Tree-like Self-Play Framework Teaches LLMs to Fix Security Flaws in Code Generation

Researchers introduce Tree-like Self-Play (TSP), a framework that treats secure code generation as a fine-grained sequential decision process. TSP significantly outperforms standard supervised fine-tuning (SFT) and reinforcement learning (RL) on Python security benchmarks, achieving a 75.8% pass rate and reducing unseen vulnerabilities by 24.5% while generalising across programming languages.

Jun 16, 2026 1 source