CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations

14 April 2022

Papers citing "CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations"

27 / 27 papers shown

Title
MetaICL: Learning to Learn In Context Sewon Min M. Lewis Luke Zettlemoyer Hannaneh Hajishirzi LRM 223 490 0 29 Oct 2021
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 355 1,708 0 15 Oct 2021
Meta-learning via Language Model In-context Tuning Yanda Chen Ruiqi Zhong Sheng Zha George Karypis He He 291 162 0 15 Oct 2021
Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 230 3,782 0 03 Sep 2021
True Few-Shot Learning with Language Models Ethan Perez Douwe Kiela Kyunghyun Cho 137 439 0 24 May 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 288 185 0 18 Apr 2021
Cross-Task Generalization via Natural Language Crowdsourcing Instructions Swaroop Mishra Daniel Khashabi Chitta Baral Hannaneh Hajishirzi LRM 168 752 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 584 4,084 0 18 Apr 2021
Improving and Simplifying Pattern Exploiting Training Derek Tam Rakesh R Menon Joey Tianyi Zhou Shashank Srivastava Colin Raffel 74 151 0 22 Mar 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing Sarah Wiegreffe Ana Marasović XAI 75 145 0 24 Feb 2021
Muppet: Massive Multi-task Representations with Pre-Finetuning Armen Aghajanyan Anchit Gupta Akshat Shrivastava Xilun Chen Luke Zettlemoyer Sonal Gupta 82 269 0 26 Jan 2021
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners Timo Schick Hinrich Schütze 132 974 0 15 Sep 2020
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 156 14,995 0 18 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 877 42,379 0 28 May 2020
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data Pengcheng Yin Graham Neubig Wen-tau Yih Sebastian Riedel RALM LMTD 94 605 0 17 May 2020
ExpBERT: Representation Engineering with Natural Language Explanations Shikhar Murty Pang Wei Koh Percy Liang 77 43 0 05 May 2020
Teaching Machine Comprehension with Compositional Explanations Qinyuan Ye Xiao Huang Elizabeth Boschee Xiang Ren LRM ReLM 71 34 0 02 May 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 544 42,591 0 03 Dec 2019
Learning from Explanations with Neural Execution Tree Ziqi Wang Yujia Qin Wenxuan Zhou Jun Yan Qinyuan Ye Leonardo Neves Zhiyuan Liu Xiang Ren LRM 50 41 0 04 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 483 20,317 0 23 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 677 24,541 0 26 Jul 2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning Nazneen Rajani Bryan McCann Caiming Xiong R. Socher ReLM LRM 89 566 0 06 Jun 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 421 640 0 04 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
Training Classifiers with Natural Language Explanations Braden Hancock P. Varma Stephanie Wang Martin Bringmann Percy Liang Christopher Ré FAtt 83 155 0 10 May 2018
Learning with Latent Language Jacob Andreas Dan Klein Sergey Levine 79 136 0 01 Nov 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 524 4,494 0 18 Apr 2017