AI RESEARCH
EXHIB: A Benchmark for Realistic and Diverse Evaluation of Function Similarity in the Wild
arXiv CS.LG
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ArXi:2604.01554v1 Announce Type: cross Binary Function Similarity Detection (BFSD) is a core problem in software security, ing tasks such as vulnerability analysis, malware classification, and patch provenance. In the past few decades, numerous models and tools have been developed for this application; however, due to the lack of a comprehensive universal benchmark in this field, researchers have struggled to compare different models effectively.