BYOC: Personalized Few-Shot Classification with Co-Authored Class Descriptions

9 October 2023

Papers citing "BYOC: Personalized Few-Shot Classification with Co-Authored Class Descriptions"

7 / 7 papers shown

Title
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification J. Chen Richong Zhang Yongyi Mao Jie Xue 27 78 0 16 May 2023
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks Anders Giovanni Møller Jacob Aarup Dalsgaard Arianna Pera L. Aiello 67 33 0 26 Apr 2023
Automatic Rule Induction for Interpretable Semi-Supervised Learning Reid Pryzant Ziyi Yang Yichong Xu Chenguang Zhu Michael Zeng 22 9 0 18 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,730 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,584 0 21 Jan 2020