Author

Han Shu

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Preprint Aug 2026

SlimVLM: Sensitivity-aware Dynamic Structured Pruning with Adaptive Visual Token Selection for Efficient Vision-Language Models

This work introduces an adaptive visual token selection strategy for VLMs that leverages average text-to-visual attention scores to assess the importance of visual tokens, removing redundant ones during pruning based on a set threshold, thereby optimizing the importance calculation.

Yaozhi Wen, Jialong Guo, Zhenliang Ni et al. · 0 citations

Preprint Aug 2026

CapProbe: Evaluating Detailed Image Captions via Full-Scene Dense Question Answering

CapProbe is introduced, a full-scene dense QA benchmark that turns detailed caption evaluation into region-aligned factual checking and is cost-effective: by converting unconstrained scalar scoring into structured MCQ reading, it reduces open-ended scoring bias while remaining judge-conditioned and yields relatively stable model rankings under a fixed reader.

Mouxiao Huang, Qi Yan, Borui Jiang et al. · 0 citations