arxiv
PublishedJune 18, 2026 at 4:00 AM
—neutral
BLADE: Scalable Bi-level Adaptive Data Selection for LLM Training
Publisher summary· verbatim
arXiv:2606.18650v1 Announce Type: new Abstract: As Large Language Model (LLM) datasets scale to trillions of tokens, data selection has emerged as a critical frontier to filter out uninformative noise and construct adaptive learning trajectories. Beyond static heuristic filtering, advanced data sele
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Originally published on arxiv ↗