LLMind: Bio-inspired Training-free Adaptive Visual Representations for Vision-Language Models
arXiv:2603.14882v2 Announce Type: replace
Abstract: Vision-Language Models (VLMs) typically assume a uniform spatial fidelity across the entire field of view of visual inputs, dedicating equal precision to even the uninformative regions. By contrast, …