GPS: Genetic Prompt Search for Efficient Few-shot Learning

31 October 2022

Papers citing "GPS: Genetic Prompt Search for Efficient Few-shot Learning"

8 / 8 papers shown

Title
EvoFlow: Evolving Diverse Agentic Workflows On The Fly Guibin Zhang Kaijie Chen Guancheng Wan Heng Chang Hong Cheng K. Wang Shuyue Hu Lei Bai 63 2 0 11 Feb 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers Xinyu Tang Xiaolei Wang Wayne Xin Zhao Siyuan Lu Yaliang Li Ji-Rong Wen LRM 39 13 0 28 Jan 2025
Gradient-Free Textual Inversion Zhengcong Fei Mingyuan Fan Junshi Huang DiffM 13 31 0 12 Apr 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 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
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 238 1,898 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 248 1,382 0 21 Jan 2020