SMART: Submodular Data Mixture Strategy for Instruction Tuning

13 March 2024

Papers citing "SMART: Submodular Data Mixture Strategy for Instruction Tuning"

6 / 6 papers shown

Title
Subset Selection for Fine-Tuning: A Utility-Diversity Balanced Approach for Mathematical Domain Adaptation Madhav Kotecha Vijendra Kumar Vaishya Smita Gautam Suraj Racha 22 0 0 02 May 2025
The Falcon Series of Open Language Models Ebtesam Almazrouei Hamza Alobeidli Abdulaziz Alshamsi Alessandro Cappelli Ruxandra-Aimée Cojocaru ... Quentin Malartic Daniele Mazzotta Badreddine Noune B. Pannier Guilherme Penedo AI4TS ALM 113 389 0 28 Nov 2023
Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning Haowen Chen Yiming Zhang Qi Zhang Hantao Yang Xiaomeng Hu Xuetao Ma Yifan YangGong J. Zhao ALM 61 46 0 16 May 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Matthew Cer VLM LRM 134 276 0 15 Oct 2021