74 citations · 112 across the 12 of their papers we have counts for
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cs.LG2026
Diversity Matters: Revisiting Test-Time Compute in Vision-Language Models
Yijie Tong, Yifan Hou, Shaobo Cui +2
Test-time compute (TTC) strategies have emerged as a lightweight approach to boost reasoning in large language models (LLMs). However, their application and benefits for vision-lan…
cs.MM2026
Unveiling the Visual Counting Bottleneck in Vision-Language Models
Xingzhou Pang, Yifan Hou, Junling Wang +1
While Large Vision-Language Models (VLMs) excel at interpolation, they suffer catastrophic failures in systematic generalization, most notably in visual counting. In this work, we…