2024
Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation
EMNLP 2024main
With contributions from the open-source community, a vast amount of instruction tuning (IT) data has emerged. Given the significant resource allocation required by training and evaluating models, it is advantageous to have an efficient method for selecting high-quality IT data. However, existing met…