Pick the Mixture, Not the Samples: Combinatorial Data Selection for LLMs.

arXiv:2610.14028v2 Announce Type: replace-cross Abstract: Data selection for LLM fine-tuning faces two facts about real training: data pools draw from many distinct domains, and evaluation spans diverse tasks. As a result, the same sample helps different tasks