Co-training Improves Prompt-based Learning for Large Language Models

Co-training Improves Prompt-based Learning for Large Language Models

2 February 2022

Papers citing "Co-training Improves Prompt-based Learning for Large Language Models"

11 / 11 papers shown

Title
Theoretical Analysis of Weak-to-Strong Generalization Hunter Lang David Sontag Aravindan Vijayaraghavan 14 19 0 25 May 2024
Differentiable Instruction Optimization for Cross-Task Generalization Masaru Isonuma Junichiro Mori Ichiro Sakata 4 0 0 16 Jun 2023
Entailment as Robust Self-Learner Jiaxin Ge Hongyin Luo Yoon Kim James R. Glass 17 3 0 26 May 2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency Lingfeng Shen Weiting Tan Boyuan Zheng Daniel Khashabi VLM 9 6 0 18 May 2023
TabLLM: Few-shot Classification of Tabular Data with Large Language Models S. Hegselmann Alejandro Buendia Hunter Lang Monica Agrawal Xiaoyi Jiang David Sontag LMTD 13 208 0 19 Oct 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
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 274 882 0 18 Apr 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
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