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Author

Wan-Shun Su

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Preprint Aug 2026

OmniPack: Unified Token Compression for Efficient Omni-modal Large Language Models

Omni-modal large language models (Omni-LLMs) have achieved remarkable performance on audio-visual understanding tasks, but processing long and highly redundant visual and audio token sequences incurs substantial computational overhead, demanding aggressive token compression for efficient deployment. Existing methods of...

Wan-Shun Su, Yang Shi, Fei Liu et al. · 2 citations
Preprint Sep 2026

Think Before You Score: Thinking Reward Model for Visual Generation

Visual reward models are essential for evaluating and improving visual generation models, yet existing approaches typically map task conditions and candidate outputs directly to scalar rewards, leaving implicit what should be evaluated for each individual case. We introduce Think Before You Score, a paradigm that expli...

Xue-Yuan Bai, Zhen-Chen Tang, Yang Shi et al. · 0 citations

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