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Few-Shot Self-Rationalization with Natural Language Prompts
v1v2 (latest)

Few-Shot Self-Rationalization with Natural Language Prompts

16 November 2021
Ana Marasović
Iz Beltagy
Doug Downey
Matthew E. Peters
    LRM
ArXiv (abs)PDFHTML

Papers citing "Few-Shot Self-Rationalization with Natural Language Prompts"

50 / 59 papers shown
Title
A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
Lingjun Zhao
Hal Daumé III
162
0
0
25 May 2025
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Jing Yang
Max Glockner
Anderson de Rezende Rocha
Iryna Gurevych
LRM
113
1
0
07 Feb 2025
Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages
Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages
Tejas Deshpande
Nidhi Kowtal
Raviraj Joshi
LRM
126
1
0
31 Dec 2024
ALMANACS: A Simulatability Benchmark for Language Model Explainability
ALMANACS: A Simulatability Benchmark for Language Model Explainability
Edmund Mills
Shiye Su
Stuart J. Russell
Scott Emmons
138
9
0
20 Dec 2023
PaLM: Scaling Language Modeling with Pathways
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
PILMLRM
517
6,293
0
05 Apr 2022
STaR: Bootstrapping Reasoning With Reasoning
STaR: Bootstrapping Reasoning With Reasoning
E. Zelikman
Yuhuai Wu
Jesse Mu
Noah D. Goodman
ReLMLRM
144
508
0
28 Mar 2022
Training language models to follow instructions with human feedback
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
OSLMALM
883
13,176
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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&RoLRMAI4CEReLM
833
9,644
0
28 Jan 2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Sarah Wiegreffe
Jack Hessel
Swabha Swayamdipta
Mark O. Riedl
Yejin Choi
59
149
0
16 Dec 2021
Few-Shot Out-of-Domain Transfer Learning of Natural Language
  Explanations in a Label-Abundant Setup
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup
Yordan Yordanov
Vid Kocijan
Thomas Lukasiewicz
Oana-Maria Camburu
71
19
0
12 Dec 2021
FLEX: Unifying Evaluation for Few-Shot NLP
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg
Arman Cohan
Kyle Lo
Iz Beltagy
268
107
0
15 Jul 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in
  Vision-Language Tasks
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
Maxime Kayser
Oana-Maria Camburu
Leonard Salewski
Cornelius Emde
Virginie Do
Zeynep Akata
Thomas Lukasiewicz
VLM
74
101
0
08 May 2021
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
Guanghui Qin
J. Eisner
63
547
0
14 Apr 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand
  Challenges
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
Cynthia Rudin
Chaofan Chen
Zhi Chen
Haiyang Huang
Lesia Semenova
Chudi Zhong
FaMLAI4CELRM
224
673
0
20 Mar 2021
Do Transformer Modifications Transfer Across Implementations and
  Applications?
Do Transformer Modifications Transfer Across Implementations and Applications?
Sharan Narang
Hyung Won Chung
Yi Tay
W. Fedus
Thibault Févry
...
Wei Li
Nan Ding
Jake Marcus
Adam Roberts
Colin Raffel
80
127
0
23 Feb 2021
Which Linguist Invented the Lightbulb? Presupposition Verification for
  Question-Answering
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering
Najoung Kim
Ellie Pavlick
Burcu Karagol Ayan
Deepak Ramachandran
133
48
0
02 Jan 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
250
4,299
0
01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
404
1,972
0
31 Dec 2020
Learning to Rationalize for Nonmonotonic Reasoning with Distant
  Supervision
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
Faeze Brahman
Vered Shwartz
Rachel Rudinger
Yejin Choi
LRM
67
42
0
14 Dec 2020
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
313
182
0
24 Oct 2020
Explainable Automated Fact-Checking for Public Health Claims
Explainable Automated Fact-Checking for Public Health Claims
Neema Kotonya
Francesca Toni
259
261
0
19 Oct 2020
Natural Language Rationales with Full-Stack Visual Reasoning: From
  Pixels to Semantic Frames to Commonsense Graphs
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
Ana Marasović
Chandra Bhagavatula
J. S. Park
Ronan Le Bras
Noah A. Smith
Yejin Choi
ReLMLRM
81
62
0
15 Oct 2020
Evaluating and Characterizing Human Rationales
Evaluating and Characterizing Human Rationales
Samuel Carton
Anirudh Rathore
Chenhao Tan
55
49
0
09 Oct 2020
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot
  Learners
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick
Hinrich Schütze
130
974
0
15 Sep 2020
Measuring Massive Multitask Language Understanding
Measuring Massive Multitask Language Understanding
Dan Hendrycks
Collin Burns
Steven Basart
Andy Zou
Mantas Mazeika
Basel Alomair
Jacob Steinhardt
ELMRALM
184
4,553
0
07 Sep 2020
Language Models are Few-Shot Learners
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
865
42,379
0
28 May 2020
UnifiedQA: Crossing Format Boundaries With a Single QA System
UnifiedQA: Crossing Format Boundaries With a Single QA System
Daniel Khashabi
Sewon Min
Tushar Khot
Ashish Sabharwal
Oyvind Tafjord
Peter Clark
Hannaneh Hajishirzi
146
741
0
02 May 2020
An Information Bottleneck Approach for Controlling Conciseness in
  Rationale Extraction
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
Bhargavi Paranjape
Mandar Joshi
John Thickstun
Hannaneh Hajishirzi
Luke Zettlemoyer
59
101
0
01 May 2020
WT5?! Training Text-to-Text Models to Explain their Predictions
WT5?! Training Text-to-Text Models to Explain their Predictions
Sharan Narang
Colin Raffel
Katherine Lee
Adam Roberts
Noah Fiedel
Karishma Malkan
67
201
0
30 Apr 2020
Explaining Question Answering Models through Text Generation
Explaining Question Answering Models through Text Generation
Veronica Latcinnik
Jonathan Berant
LRM
89
51
0
12 Apr 2020
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT
Prakhar Ganesh
Yao Chen
Xin Lou
Mohammad Ali Khan
Yifan Yang
Hassan Sajjad
Preslav Nakov
Deming Chen
Marianne Winslett
AI4CE
107
201
0
27 Feb 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
611
4,905
0
23 Jan 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
348
1,617
0
21 Jan 2020
How Can We Know What Language Models Know?
How Can We Know What Language Models Know?
Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
KELM
141
1,409
0
28 Nov 2019
Social Bias Frames: Reasoning about Social and Power Implications of
  Language
Social Bias Frames: Reasoning about Social and Power Implications of Language
Maarten Sap
Saadia Gabriel
Lianhui Qin
Dan Jurafsky
Noah A. Smith
Yejin Choi
148
498
0
10 Nov 2019
Rethinking Cooperative Rationalization: Introspective Extraction and
  Complement Control
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
Mo Yu
Shiyu Chang
Yang Zhang
Tommi Jaakkola
119
145
0
29 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
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
462
20,317
0
23 Oct 2019
Question Answering is a Format; When is it Useful?
Question Answering is a Format; When is it Useful?
Matt Gardner
Jonathan Berant
Hannaneh Hajishirzi
Alon Talmor
Sewon Min
61
52
0
25 Sep 2019
Evaluating Explanation Without Ground Truth in Interpretable Machine
  Learning
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning
Fan Yang
Mengnan Du
Xia Hu
XAIELM
57
67
0
16 Jul 2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Nazneen Rajani
Bryan McCann
Caiming Xiong
R. Socher
ReLMLRM
84
566
0
06 Jun 2019
Does It Make Sense? And Why? A Pilot Study for Sense Making and
  Explanation
Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation
Cunxiang Wang
Shuailong Liang
Yue Zhang
Xiaonan Li
Tian Gao
LRM
61
111
0
02 Jun 2019
Interpretable Neural Predictions with Differentiable Binary Variables
Interpretable Neural Predictions with Differentiable Binary Variables
Jasmijn Bastings
Wilker Aziz
Ivan Titov
82
214
0
20 May 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language
  Understanding Systems
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Alex Jinpeng Wang
Yada Pruksachatkun
Nikita Nangia
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
274
2,323
0
02 May 2019
BERTScore: Evaluating Text Generation with BERT
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang
Varsha Kishore
Felix Wu
Kilian Q. Weinberger
Yoav Artzi
352
5,860
0
21 Apr 2019
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
417
640
0
04 Dec 2018
Towards Explainable NLP: A Generative Explanation Framework for Text
  Classification
Towards Explainable NLP: A Generative Explanation Framework for Text Classification
Hui Liu
Qingyu Yin
William Yang Wang
100
148
0
01 Nov 2018
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading
  Comprehension
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension
Sheng Zhang
Xiaodong Liu
Jingjing Liu
Jianfeng Gao
Kevin Duh
Benjamin Van Durme
81
314
0
30 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
Faithful Multimodal Explanation for Visual Question Answering
Faithful Multimodal Explanation for Visual Question Answering
Jialin Wu
Raymond J. Mooney
57
91
0
08 Sep 2018
Textual Explanations for Self-Driving Vehicles
Textual Explanations for Self-Driving Vehicles
Jinkyu Kim
Anna Rohrbach
Trevor Darrell
John F. Canny
Zeynep Akata
58
346
0
30 Jul 2018
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