Author

Cheng Fan

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Preprint Aug 2026

RoRA: Role-Oriented Regional Allocation for Visual Token Pruning in MLLMs

RoRA is a training-free framework that casts visual token pruning as role-oriented regional evidence allocation, and consistently outperforms strong training-free baselines across LLaVA and Qwen-VL families, retaining most of the unpruned accuracy even at aggressive pruning ratios.

Qiyanhui Lu, Han Wu, Rongjia Xu et al. · 0 citations

Preprint Aug 2026

CROSS: Cascaded Distillation and Dual-Constraint Grounding for Remote Sensing Referring Segmentation

CROSS is proposed, a tightly integrated paradigm for RRSIS that achieves state-of-the-art performance and maintains precise localization even under severe spatial description perturbations, standing as a robust new paradigm for RRSIS.

Tingzhang Luo, Ruizhong Liu, Yichao Liu et al. · 1 citation