GeoPID: Decomposing and Steering Visual Information in Vision-Language Models
While recent vision-language models (VLMs) have shown outstanding performance across diverse applications, they tend to under-use visual information and over-rely on textual context. In this work, we propose \textsc{GeoPID}, a training-free framework that analyzes multimodal information within VLMs from a geometric per...
Seulgi Kim, Zhixiong Zhang, Xin-Wei Zhang et al.
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