Rethinking data selection as distribution matching on semantic manifolds
Read the original at arxiv.org→arXiv:2611.08495v1 Announce Type: new Abstract: Instruction tuning of large language models and large vision language models relies on massive training data, which incurs substantial computational and storage costs....
Original headline: "Rethinking Data Selection as Distribution Matching on Semantic Manifolds"
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- Nov 9, 05:00 UTC arXiv cs.LG lead source Rethinking Data Selection as Distribution Matching on Semantic Manifolds