Robust LLM Data Selection via Content-Invariant Gradient Attribution.

arXiv:2610.36755v1 Announce Type: cross Abstract: Gradient-based data attribution has become an important tool for high-quality data selection in the instruction fine-tuning of large language models (LLMs), as it estimates the contribution of training examples