Author

Junlin Lv

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#artificial intelligence Preprint Sep 2026

VideoMM: Adaptive Macro-Micro Inference for Efficient Video MLLMs

VideoMM is introduced, which marks a paradigm shift from model-centric downsizing to adaptive perceptual granularity and accelerates inference by 2.73 times over current leading methods, establishing a highly scalable paradigm for long-video understanding.

Hao-Yu Guo, Yuan Feng, Junlin Lv et al. · 1 citation

Preprint Aug 2026

LibraSpec: Dynamic Diffusion-Based Speculative Decoding via Marginal-Gain-Driven Optimization

LibraSpec, a training-free and plug-and-play algorithm that iteratively determines the speculative length using drafter confidence scores, is developed and it is proved that LibraSpec monotonically converges toward the optimal speculative length.

Zexun Lin, Yuan Feng, Junlin Lv et al. · 0 citations