Jun Yeon Won
2 indexed papers
Recent (6 mo)
2With code
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226
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Crypto×2ML×2Software Eng.×2
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2026
EXHIB: A Benchmark for Realistic and Diverse Evaluation of Function Similarity in the Wild
The paper introduces EXHIB, a comprehensive benchmark of five real-world datasets, to evaluate Function Similarity Detection, demonstrating that current models fail to generalize across diverse low- and high-level binary variations.
REBENCH: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names (Extended Version)
The paper introduces REBench, a comprehensive, standardized benchmark dataset designed to enable fair and rigorous evaluation of Large Language Models (LLMs) on complex binary reverse engineering tasks.
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Papers
cs.CRcs.LGcs.SERecentApr 30, 2026
REBENCH: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names (Extended Version)
The paper introduces REBench, a comprehensive, standardized benchmark dataset designed to enable fair and rigorous evaluation of Large Language Models (LLMs) on complex binary reverse engineering task…
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cs.CRcs.LGcs.SERecentApr 2, 2026