Author

Junmo Kim

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#artificial intelligence Preprint Oct 2026

Before It Fades: Reinforcing Temporal Representations at Inference Time in VideoLLMs

Video Large Language Models (VideoLLMs) receive frames in sequential order and interpret how visual content evolves along the temporal axis, yet temporal reasoning remains a persistent weakness across architectures. Reversing the frame order of a video, a transformation that should invert temporal answers, often leaves...

Youngwoo Shin, Yusung Ro, Minseo Kim et al. · 0 citations

#artificial intelligence Apr 2026

IWP: Token Pruning as Implicit Weight Pruning in Large Vision Language Models

This paper proposes a novel training free token pruning framework grounded in the dual form perspective of attention, and derives a novel metric quantifying both a token's information magnitude and information duplication.

Dong-Jae Lee, S. Baek, Junmo Kim · arXiv.org · 0 citations