Author

Yucheng Wang

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Jul 2026

RP-OPSD: Resolution-Privileged On-Policy Self-Distillation for Multimodal Large Language Models

It is demonstrated that resolution differences can serve as a simple and scalable source of privileged information, providing an effective and efficient approach to on-policy self-distillation for multimodal large language models.

Qihui Zhu, Yucheng Wang, Zijian Wen et al. · arXiv.org · 0 citations

Jul 2026

SepPrune:A Separator-based Pruning Framework for Efficient Multimodal Large Language Models

It is observed that attention scores from both vision and text tokens peak at modality separator tokens, suggesting that these separators bridge the two modalities and proposes SepPrune, an efficient, training-free, plug-and-play pruning method that uses the separator token as a unified query to rank and select informative vision tokens.

Yucheng Wang, Qihui Zhu, Yang Liu et al. · arXiv.org · 0 citations