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announcement

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods

Event Summary

arXiv:2605.05227v1 Announce Type: new Abstract: Data curation is a critical yet under-explored area in large language model (LLM) training. Existing methods, such as data selection and mixing, operate in an offline paradigm, detaching themselves from training. This separation introduces engineering

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Source

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