Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards

21 October 2022

Papers citing "Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards"

7 / 7 papers shown

Title
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter Junhao Chen Bowen Wang Zhouqiang Jiang Yuta Nakashima 36 1 0 20 Aug 2024
Gradient-Free Textual Inversion Zhengcong Fei Mingyuan Fan Junshi Huang DiffM 13 31 0 12 Apr 2023
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020
The Lottery Ticket Hypothesis for Pre-trained BERT Networks Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Zhangyang Wang Michael Carbin 148 345 0 23 Jul 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 251 1,584 0 21 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018