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"

16 / 16 papers shown

Title
Theoretical Analysis of Weak-to-Strong Generalization Hunter Lang David Sontag Aravindan Vijayaraghavan 25 20 0 25 May 2024
Differentiable Instruction Optimization for Cross-Task Generalization Masaru Isonuma Junichiro Mori Ichiro Sakata 29 0 0 16 Jun 2023
Entailment as Robust Self-Learner Jiaxin Ge Hongyin Luo Yoon Kim James R. Glass 42 3 0 26 May 2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency Lingfeng Shen Weiting Tan Boyuan Zheng Daniel Khashabi VLM 39 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 55 213 0 19 Oct 2022
Regularized Data Programming with Automated Bayesian Prior Selection Jacqueline R. M. A. Maasch Hao Zhang Qian Yang Fei Wang Volodymyr Kuleshov 41 0 0 17 Oct 2022
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts Nghia T. Le Fan Bai Alan Ritter 35 12 0 07 Oct 2022
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model Jacob Eisenstein D. Andor Bernd Bohnet Michael Collins David M. Mimno LRM 191 24 0 05 Oct 2022
Training Subset Selection for Weak Supervision Hunter Lang Aravindan Vijayaraghavan David Sontag NoLa 16 21 0 06 Jun 2022
Language Models in the Loop: Incorporating Prompting into Weak Supervision Ryan Smith Jason Alan Fries Braden Hancock Stephen H. Bach 50 53 0 04 May 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 213 1,661 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 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
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 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 297 6,984 0 20 Apr 2018