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Prompting Contrastive Explanations for Commonsense Reasoning Tasks

Prompting Contrastive Explanations for Commonsense Reasoning Tasks

12 June 2021
Bhargavi Paranjape
Julian Michael
Marjan Ghazvininejad
Luke Zettlemoyer
Hannaneh Hajishirzi
    ReLM
    LRM
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Papers citing "Prompting Contrastive Explanations for Commonsense Reasoning Tasks"

14 / 14 papers shown
Title
AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment
AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment
Yilong Lai
Jialong Wu
Congzhi Zhang
Haowen Sun
Deyu Zhou
73
3
0
02 Jul 2024
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
Alexis Ross
Ana Marasović
Matthew E. Peters
57
122
0
27 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
297
178
0
24 Oct 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
43
100
0
01 May 2020
Unsupervised Commonsense Question Answering with Self-Talk
Unsupervised Commonsense Question Answering with Self-Talk
Vered Shwartz
Peter West
Ronan Le Bras
Chandra Bhagavatula
Yejin Choi
ReLM
SSL
AI4MH
LRM
34
260
0
11 Apr 2020
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Adam Roberts
Colin Raffel
Noam M. Shazeer
KELM
56
877
0
10 Feb 2020
oLMpics -- On what Language Model Pre-training Captures
oLMpics -- On what Language Model Pre-training Captures
Alon Talmor
Yanai Elazar
Yoav Goldberg
Jonathan Berant
LRM
61
303
0
31 Dec 2019
Make Up Your Mind! Adversarial Generation of Inconsistent Natural
  Language Explanations
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations
Oana-Maria Camburu
Brendan Shillingford
Pasquale Minervini
Thomas Lukasiewicz
Phil Blunsom
AAML
GAN
34
97
0
07 Oct 2019
Learning the Difference that Makes a Difference with
  Counterfactually-Augmented Data
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Divyansh Kaushik
Eduard H. Hovy
Zachary Chase Lipton
CML
57
567
0
26 Sep 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
523
2,639
0
03 Sep 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
172
2,287
0
02 May 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
372
634
0
04 Dec 2018
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
221
579
0
02 May 2018
Explanation in Artificial Intelligence: Insights from the Social
  Sciences
Explanation in Artificial Intelligence: Insights from the Social Sciences
Tim Miller
XAI
217
4,229
0
22 Jun 2017
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