Filter-then-Weight is a two-stage optimizer-aware method that filters geometrically useful data candidates and optimizes their coefficients to shape target updates in online LLM fine-tuning.
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Filter-then-Weight: Online Data Selection and Reweighting for LLM Fine-Tuning
Filter-then-Weight is a two-stage optimizer-aware method that filters geometrically useful data candidates and optimizes their coefficients to shape target updates in online LLM fine-tuning.