most citedSODA: Robust Training of Test-Time Data Adaptors

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cs.CL2025

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs

Zige Wang, Qi Zhu, Fei Mi +3

Gradient-based data influence approximation has been leveraged to select useful data samples in the supervised fine-tuning of large language models. However, the computation of gra…

cs.CL2023

Data Management For Training Large Language Models: A Survey

Zige Wang, Wanjun Zhong, Yufei Wang +6

Data plays a fundamental role in training Large Language Models (LLMs). Efficient data management, particularly in formulating a well-suited training dataset, is significant for en…