Showing 2026Show all
2 papers · 1 filter
cs.CV2026
SCOPD: Sparse-Context On-Policy Self-Distillation for Efficient Vision-Language Models
Ahmadreza Jeddi, Enming Zhang, Jasper Gerigk +12
Reasoning vision-language models (VLMs) process images and videos as long sequences of visual tokens, making inference expensive. Training-free token pruning reduces this cost, but…
cs.CV2026
Tinted Frames: Question Framing Blinds Vision-Language Models
Wan-Cyuan Fan, Jiayun Luo, Declan Kutscher +2
Vision-Language Models (VLMs) have been shown to be blind, often underutilizing their visual inputs even on tasks that require visual reasoning. In this work, we demonstrate that V…