Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

21 October 2023

Papers citing "Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs"

7 / 7 papers shown

Title
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble Zhijun Chen Jingzheng Li Pengpeng Chen Zhuoran Li Kai Sun Yuankai Luo Qianren Mao Dingqi Yang Hailong Sun Philip S. Yu ELM 50 3 0 25 Feb 2025
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning Xiaochuan Li Zichun Yu Chenyan Xiong SyDa 27 1 0 18 Oct 2024
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models Jinliang Lu Ziliang Pang Min Xiao Yaochen Zhu Rui Xia Jiajun Zhang MoMe 29 17 0 08 Jul 2024
Instruction Tuning with Human Curriculum Bruce W. Lee Hyunsoo Cho Kang Min Yoo 30 3 0 14 Oct 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 11,730 0 04 Mar 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts Stephen H. Bach Victor Sanh Zheng-Xin Yong Albert Webson Colin Raffel ... Khalid Almubarak Xiangru Tang Dragomir R. Radev Mike Tian-Jian Jiang Alexander M. Rush VLM 221 335 0 02 Feb 2022
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 245 1,977 0 31 Dec 2020