2 papers
cs.AI2026
From Local Evidence to Safety Verdicts: Causal Tracing in Vision-Language Models
Faezeh Dehghan Tarzjani, Mevan Wijewardena, Alexander Romanus +1
A vision-language model may need to combine an image with a prompt to recognize a safety risk that neither reveals alone. Where does this joint safety judgment become accessible in…
cs.LG2026
FuzzingRL: Reinforcement Fuzz-Testing for Revealing VLM Failures
Jiajun Xu, Jiageng Mao, Ang Qi +5
Vision Language Models (VLMs) are prone to errors, and identifying where these errors occur is critical for ensuring the reliability and safety of AI systems. In this paper, we pro…