2 papers
cs.CV2026
FACT: A Simple and Efficient Framework for Active Finetuning
Wenshuai Xu, You Song, Yuzhuo Cui +3
The main goal of active finetuning is to improve a pretrained model's performance on a specific task or domain by finetuning it with carefully selected informative or challenging d…
cs.CL2024
A Survey on Data Synthesis and Augmentation for Large Language Models
Ke Wang, Jiahui Zhu, Minjie Ren +8
The success of Large Language Models (LLMs) is inherently linked to the availability of vast, diverse, and high-quality data for training and evaluation. However, the growth rate o…