Noisy Channel Language Model Prompting for Few-Shot Text Classification

Noisy Channel Language Model Prompting for Few-Shot Text Classification

9 August 2021

Hannaneh Hajishirzi

Luke Zettlemoyer

Papers citing "Noisy Channel Language Model Prompting for Few-Shot Text Classification"

6 / 156 papers shown

Title
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 238 808 0 14 Oct 2021
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners Ningyu Zhang Luoqiu Li Xiang Chen Shumin Deng Zhen Bi Chuanqi Tan Fei Huang Huajun Chen VLM 36 171 0 30 Aug 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 279 1,124 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,858 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,924 0 31 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 365 11,700 0 09 Mar 2017