#machine learning
Jun 2026
Diagnosing Visual Ignorance in Vision-Language Models
Across three VLMs and twelve benchmarks, this work tracks the answer-relevant information decodable at each decoder layer and measures when it becomes coupled to the final output, and distinguishes the availability of visual information from its influence on prediction.
Run-Yu Zhou, Qi Zhang, Qixun Wang et al.
· arXiv.org · 2 citations
· ⚡1