Dual-Pathway Circuits of Object Hallucination in Vision-Language Models

ArXi:2605.13156v1 Announce Type: new Vision-language models (VLMs) have nstrated remarkable capabilities in bridging visual perception and natural language understanding, enabling a wide range of multimodal reasoning tasks. However, they often produce object hallucinations, describing content absent from the input image, which limits their reliability and interpretability. To address this limitation, we propose Dual-Pathway Circuit Analysis, a framework that identifies and characterizes hallucination-related circuits in VLMs for mechanistic understanding and causal probing.