Author

Mu Qiao

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Jun 2026

ERA: Entropy-Guided Visual Token Pruning with Rectified Attention for Efficient MLLMs

ERA establishes logit-preserving visual token pruning as a principled framework for efficient MLLMs, unifying theoretical foundation, algorithmic design, and practical deployment.

Yuhao Wang, Mu Qiao, Haiwen Diao et al. · arXiv.org · 0 citations