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Cuiyun Gao

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Open access Sep 2025

Empirical Study of Code Large Language Models for Binary Security Patch Detection

This initial study demonstrates that directly prompting off-the-shelf code LLMs remains ineffective; even advanced prompting strategies cannot compensate for the lack of task-specific knowledge, and fine-tuning proves highly effective, with pseudo-code representation consistently yielding the best performance.

Qingyuan Li, Bin-Chang Li, Cuiyun Gao et al. · 3 citations · ⚡1
Jul 2026

Towards Reliable C-to-Rust Translation with Rule-Guided Reasoning and Reinforcement Learning

A Translation fRAmework Via rule-guided reasoning and rEinforcement Learning, namely TRAVEL, consisting of two modules that employs Monte Carlo Tree Search-based reasoning path construction guided by Rust-specific rules, and introduces reinforcement learning that couples execution feedback with reasoning-quality signal...

Feng Luo, Jiachen Liu, Cuiyun Gao et al. · 0 citations

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