benchmark dataset 1large language models 1software security 1static analysis 1vulnerability detection 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CR2026
HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models
Petr Simecek, Elnaz Babayeva, Jiri Balhar +23
The paper presents HoF-Bench, a benchmark of 95 AI‑discovered CVEs from open‑source projects, and evaluates several LLM‑based vulnerability detectors, finding that only a minimal a…
cs.CL2025
A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders
David Chanin, James Wilken-Smith, Tomáš Dulka +3
Sparse Autoencoders (SAEs) aim to decompose the activation space of large language models (LLMs) into human-interpretable latent directions or features. As we increase the number o…