Author

Qingshuang Chen

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Preprint Aug 2026

Adaptive Two-Stage Visual Token Pruning for Efficient Inference in Video-Language Models

This work proposes a two-stage adaptive token pruning strategy specifically designed for video processing that improves accuracy by +7\% on a video captioning benchmark at 10% token retention, while reducing computation TFLOPs by 95\%.

Paribesh Regmi, Qingshuang Chen, Chi Zhang et al. · 1 citation