From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning

24 January 2024

Papers citing "From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning"

3 / 3 papers shown

Title
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin Yuncheng Yang Pengcheng Guo Gang Li Hang Shao Yuchen Shi Zihan Xu Yun Gu Ke Li Xing Sun ALM 85 11 0 31 Dec 2024
Efficient Few-Shot Learning Without Prompts Lewis Tunstall Nils Reimers Unso Eun Seo Jo Luke Bates Daniel Korat Moshe Wasserblat Oren Pereg VLM 26 180 0 22 Sep 2022
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation Marzena Karpinska Nader Akoury Mohit Iyyer 204 106 0 14 Sep 2021