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arxiv_cs_cl · Aug 4, 2026 · paper

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ParVL: Parallel Scaling and Expandable Compute Allocation for Multimodal LLMs

arxiv.orgAug 4, 2026
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Existing scaling strategies for Multimodal Large Language Models (MLLMs) typically expand either model parameters or sequential inference computation, incurring substantial memory or latency overhead. More importantly...

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ParVL: Parallel Scaling and Expandable Compute Allocation for Multimodal LLMs

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