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Tianyu Zhang

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#machine learning Preprint Sep 2026

VEX-Bench: Benchmarking LLM Agents for Assessing Exploitability of Software Supply Chain Vulnerabilities

VEX-Bench is introduced, the first benchmark for evaluating LLM agents'ability to assess the exploitability of software supply chain vulnerabilities, and contains 75 real-world cases mined from GitHub and labeled by security experts, covering Python, Java, and Go.

Jia-Hao Shi, Edward Tsien, Yi-Feng Di et al. · 0 citations
Jul 2026

AgentAbstain: Do LLM Agents Know When Not to Act?

This work presents the first systematic evaluation framework for agentic abstention, and identifies failure modes such as post-hoc abstention, in which agents execute irreversible actions before recognizing abstention triggers.

Xun Liu, Y. Zhang, Vira Kasprova et al. · 2 citations

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