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University of Surrey
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Visual tokens undergo a hidden evolution in LLMs, transforming from raw signals into contextually rich representations that dictate task performance.
AVLLMs can efficiently discard certain audio-visual tokens without sacrificing prediction quality, revealing a surprising flexibility in multimodal processing.
