5 citations · 7 across the 8 of their papers we have counts for
4 papers · 1 filter
Beyond Static Visual Tokens: Structured Sequential Visual Chain-of-Thought Reasoning
Guangfu Guo, Xiaoqian Lu, Yue Feng +1
Current multimodal LLMs encode images as static visual prefixes and rely on text-based reasoning, lacking goal-driven and adaptive visual access. Inspired by human visual perceptio…
Do VLMs Perceive or Recall? Probing Visual Perception vs. Memory with Classic Visual Illusions
Xiaoxiao Sun, Mingyang Li, Kun Yuan +7
Large Vision-Language Models (VLMs) often answer classic visual illusions "correctly" on original images, yet persist with the same responses when illusion factors are inverted, ev…
From Panel to Pixel: Zoom-In Vision-Language Pretraining from Biomedical Scientific Literature
Kun Yuan, Min Woo Sun, Zhen Chen +7
There is a growing interest in developing strong biomedical vision-language models. A popular approach to achieve robust representations is to use web-scale scientific data. Howeve…
No Tokens Wasted: Leveraging Long Context in Biomedical Vision-Language Models
Min Woo Sun, Alejandro Lozano, Javier Gamazo Tejero +8
Embedding vision-language models (VLMs) are typically pretrained with short text windows (<77 tokens), which forces the truncation of long-format captions. Yet, the distribution of…