Author

Yucheol Cho

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#machine learning Preprint Sep 2026

When Text Matters: Design Principles for Visual Token Pruning in Vision-Language Model

It is found that applying textual guidance too early can limit its ability to identify answer-relevant visual regions, whereas text-to-visual attention becomes more informative at intermediate decoder depths.

Min-Chan Kang, Kyeonghye Park, Seoyoung Cho et al. · 0 citations

#machine learning Preprint Sep 2026

Beyond Reconstruction Loss in Post-Training Quantization: Balanced Fitting for Large Vision-Language Models

Experiments on multiple LVLMs show that the Balanced Fitting method consistently outperforms prior PTQ approaches under both weight-only and weight-activation quantization, while lower reconstruction loss does not reliably translate into better downstream performance.

Min-Chan Kang, Kyeonghye Park, Seungyeon Sa et al. · 0 citations