Don't Prompt, Search! Mining-based Zero-Shot Learning with Language
Models

Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models

26 October 2022

Mozes van de Kar

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Papers citing "Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models"

18 / 18 papers shown

Title
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching Xiaoying Zhang Baolin Peng Ye Tian Jingyan Zhou Yipeng Zhang Haitao Mi Helen Meng CLL KELM 116 7 0 10 Jun 2024
ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data Xiaochuang Han Yulia Tsvetkov 86 31 0 25 May 2022
Prompt Consistency for Zero-Shot Task Generalization Chunting Zhou Junxian He Xuezhe Ma Taylor Berg-Kirkpatrick Graham Neubig VLM 82 78 0 29 Apr 2022
Data Distributional Properties Drive Emergent In-Context Learning in Transformers Stephanie C. Y. Chan Adam Santoro Andrew Kyle Lampinen Jane X. Wang Aaditya K. Singh Pierre Harvey Richemond J. Mcclelland Felix Hill 141 263 0 22 Apr 2022
PaLM: Scaling Language Modeling with Pathways Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra ... Kathy Meier-Hellstern Douglas Eck J. Dean Slav Petrov Noah Fiedel PILM LRM 500 6,279 0 05 Apr 2022
Impact of Pretraining Term Frequencies on Few-Shot Reasoning Yasaman Razeghi Robert L Logan IV Matt Gardner Sameer Singh ReLM LRM 86 156 0 15 Feb 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation Alisa Liu Swabha Swayamdipta Noah A. Smith Yejin Choi 153 219 0 16 Jan 2022
Datasets: A Community Library for Natural Language Processing Quentin Lhoest Albert Villanova del Moral Yacine Jernite A. Thakur Patrick von Platen ... Thibault Goehringer Victor Mustar François Lagunas Alexander M. Rush Thomas Wolf 216 613 0 07 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 579 4,077 0 18 Apr 2021
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right Ari Holtzman Peter West Vered Schwartz Yejin Choi Luke Zettlemoyer LRM 103 238 0 16 Apr 2021
Generating Datasets with Pretrained Language Models Timo Schick Hinrich Schütze 152 235 0 15 Apr 2021
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks Trapit Bansal Rishikesh Jha Tsendsuren Munkhdalai Andrew McCallum SSL VLM 87 88 0 17 Sep 2020
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners Timo Schick Hinrich Schütze 128 973 0 15 Sep 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 348 1,615 0 21 Jan 2020
How Can We Know What Language Models Know? Zhengbao Jiang Frank F. Xu Jun Araki Graham Neubig KELM 132 1,405 0 28 Nov 2019
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 524 4,492 0 18 Apr 2017
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 289 8,160 0 16 Jun 2016
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 321 4,287 0 21 Aug 2015