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Bifocal: Training-Free Mixed Granularity Visual Token Pruning for Multimodal LLMs
Visual token pruning for multimodal large language models (MLLMs) appears highly effective, with existing methods retaining over 95% of unpruned performance on common VQA benchmarks using a quarter of the visual tokens or fewer. However, our extensive evaluation of ten methods across three MLLM fami
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