MoDS: Model-oriented Data Selection for Instruction Tuning

27 November 2023

Papers citing "MoDS: Model-oriented Data Selection for Instruction Tuning"

7 / 57 papers shown

Title
Rethinking Data Selection for Supervised Fine-Tuning Ming Shen 26 16 0 08 Feb 2024
LESS: Selecting Influential Data for Targeted Instruction Tuning Mengzhou Xia Sadhika Malladi Suchin Gururangan Sanjeev Arora Danqi Chen 80 185 0 06 Feb 2024
A Survey on Data Selection for LLM Instruction Tuning Jiahao Wang Bolin Zhang Qianlong Du Jiajun Zhang Dianhui Chu 24 42 0 04 Feb 2024
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning Ming Li Yong Zhang Shwai He Zhitao Li Hongyu Zhao Jianzong Wang Ning Cheng Tianyi Zhou 27 63 0 01 Feb 2024
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models Gantavya Bhatt Yifang Chen Arnav M. Das Jifan Zhang Sang T. Truong ... Jeff Bilmes S. Du Kevin G. Jamieson Jordan T. Ash Robert D. Nowak 29 14 0 12 Jan 2024
Rethinking the Instruction Quality: LIFT is What You Need Yang Xu Yongqiang Yao Yufan Huang Mengnan Qi Maoquan Wang Bin Gu Neel Sundaresan ALM 19 32 0 12 Dec 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022