AI RESEARCH
Once-For-All: A Train-Once and Select-Anytime Framework for Multimodal Instruction Tuning
arXiv CS.CV
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ArXi:2605.26761v1 Announce Type: new Multimodal instruction tuning is the de facto recipe for adapting vision language models (VLMs), yet instruction data are highly redundant, making data selection critical for