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Yingying Li

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Open access Aug 2026

RL–LLMfuzzer: reinforcement learning–guided dual–model differential fuzzing for compiler testing

RL-LLMfuzzer, a reinforcement learning and LLM-based differential fuzzing framework that has successfully unearthed 28 officially confirmed vulnerabilities in GCC and LLVM/Clang, establishing a highly efficient and scalable paradigm for LLM-driven compiler validation.

Donghui Li, Yingying Li, Bo Zhao et al. · 0 citations