Author

Ran He

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Preprint Oct 2026

Video-MemComp: Taylor-Guided Sensitivity-Aware Memory Management for Streaming Video Understanding

The rapid growth of video data has created an urgent need for efficient video understanding systems that can handle long and continuous visual inputs, posing significant challenges for Multimodal Large Language Models (MLLMs) due to severe memory bottlenecks. Moreover, existing compression methods often overlook the ex...

Yong-Hui Niu, Yu-Hao Ji, Chang Nie et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Omni-Woodpecker: Hallucination Correction via Evidence-Prior Rebalancing for Omni LLMs

OWP is proposed, a training-free framework that shifts hallucination mitigation from output-level manipulation to conflict-conditioned representation rebalancing and adaptively rebalances fused representations by suppressing misleading priors and restoring ignored evidence before decoding.

Zi-Jian Liu, Chaoyou Fu, Yan Yang et al. · 0 citations