GenQA: Generating Millions of Instructions from a Handful of Prompts

GenQA: Generating Millions of Instructions from a Handful of Prompts

14 June 2024

John Kirchenbauer

Tom Goldstein

Papers citing "GenQA: Generating Millions of Instructions from a Handful of Prompts"

8 / 8 papers shown

Title
X-EcoMLA: Upcycling Pre-Trained Attention into MLA for Efficient and Extreme KV Compression Guihong Li Mehdi Rezagholizadeh Mingyu Yang Vikram Appia Emad Barsoum VLM 48 0 0 14 Mar 2025
The Best Instruction-Tuning Data are Those That Fit Dylan Zhang Qirun Dai Hao Peng ALM 113 3 0 06 Feb 2025
Stronger Models are NOT Stronger Teachers for Instruction Tuning Zhangchen Xu Fengqing Jiang Luyao Niu Bill Yuchen Lin Radha Poovendran ALM 48 5 0 11 Nov 2024
MDCure: A Scalable Pipeline for Multi-Document Instruction-Following Gabrielle Kaili-May Liu Bowen Shi Avi Caciularu Idan Szpektor Arman Cohan 58 3 0 30 Oct 2024
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination Jerry Huang Prasanna Parthasarathi Mehdi Rezagholizadeh Boxing Chen Sarath Chandar 48 0 0 22 Oct 2024
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Zhangchen Xu Fengqing Jiang Luyao Niu Yuntian Deng Radha Poovendran Yejin Choi Bill Yuchen Lin SyDa 27 110 0 12 Jun 2024
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 301 11,730 0 04 Mar 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