HARP: Efficient Data Selection for Finetuning Large Language Models.

arXiv:2606.07690v2 Announce Type: replace-cross Abstract: Finetuning data selection requires balancing two competing goals: selecting examples that improve the downstream objective, and doing so without repeatedly finetuning models. Train-free selectors are sc