Few-shot Mining of Naturally Occurring Inputs and Outputs

Few-shot Mining of Naturally Occurring Inputs and Outputs

9 May 2022

Luke Zettlemoyer

Papers citing "Few-shot Mining of Naturally Occurring Inputs and Outputs"

6 / 6 papers shown

Title
Discovering Language Model Behaviors with Model-Written Evaluations Ethan Perez Sam Ringer Kamilė Lukošiūtė Karina Nguyen Edwin Chen ... Danny Hernandez Deep Ganguli Evan Hubinger Nicholas Schiefer Jared Kaplan ALM 13 356 0 19 Dec 2022
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning Tu Vu Minh-Thang Luong Quoc V. Le Grady Simon Mohit Iyyer 115 60 0 13 Sep 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 277 1,114 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,913 0 31 Dec 2020
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation Alexander R. Fabbri Simeng Han Haoyuan Li Haoran Li Marjan Ghazvininejad Shafiq R. Joty Dragomir R. Radev Yashar Mehdad 119 95 0 24 Oct 2020
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 242 269 0 30 Sep 2019