FLamE: Few-shot Learning from Natural Language Explanations

FLamE: Few-shot Learning from Natural Language Explanations

13 June 2023

Yangqiaoyu Zhou

Papers citing "FLamE: Few-shot Learning from Natural Language Explanations"

19 / 19 papers shown

Title
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda Johannes Schneider 83 26 0 15 Apr 2024
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception Chaitanya Malaviya Subin Lee Dan Roth Mark Yatskar 37 1 0 16 Nov 2023
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning Yue Yu Jiaming Shen Tianqi Liu Zhen Qin Jing Nathan Yan Jialu Liu Chao Zhang Michael Bendersky 54 6 0 13 Nov 2023
Ecologically Valid Explanations for Label Variation in NLI Nan-Jiang Jiang Chenhao Tan M. Marneffe FAtt 29 4 0 20 Oct 2023
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning Xinyi Wang John Wieting J. Clark CLL ALM 29 1 0 09 Sep 2023
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture Bingsheng Yao Ishan Jindal Lucian Popa Yannis Katsis Sayan Ghosh ... Yuxuan Lu Shashank Srivastava Yunyao Li James A. Hendler Dakuo Wang 34 10 0 22 May 2023
Learning by Distilling Context Charles Burton Snell Dan Klein Ruiqi Zhong ReLM LRM 168 44 0 30 Sep 2022
In-context Learning and Induction Heads Catherine Olsson Nelson Elhage Neel Nanda Nicholas Joseph Nova Dassarma ... Tom B. Brown Jack Clark Jared Kaplan Sam McCandlish C. Olah 250 463 0 24 Sep 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 339 12,003 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 395 8,559 0 28 Jan 2022
Natural Language Descriptions of Deep Visual Features Evan Hernandez Sarah Schwettmann David Bau Teona Bagashvili Antonio Torralba Jacob Andreas MILM 204 117 0 26 Jan 2022
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
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,312 0 17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,924 0 31 Dec 2020
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 282 170 0 24 Oct 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 419 2,588 0 03 Sep 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 260 622 0 04 Dec 2018