一作ACL 2026Findings· Findings of ACL
EUL o I nf: Efficient Hessian-Free Entropy Based Uncertainty-Aware Data Influence Approximation
Runxin Cai · Jingtan Wang · Bryan Kian Hsiang Low
摘要
In Large Language Model post-training, high-quality data effectively enhances model performance with fine-tuning, highlighting the need to identify high-quality and beneficial fine-tuning data. However, one of the most popular data valuation paradigms, influence function and its variants, are com...