Author

Paribesh Regmi

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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

Conference 2026

Shortcut Diffusion Training With Cumulative Consistency Loss: An Optimal Control View

This paper forms few-step generation as a controlled base generative process, and shows that self-consistency loss can be understood through the lens of optimal control, and draws a connection between this approach and reinforcement learning, potentially opening the door to a new set of approaches for few-step generati...

Paribesh Regmi, S. Ghimire, Rui Li · International Conference on... · 0 citations