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Explaining Question Answering Models through Text Generation

Explaining Question Answering Models through Text Generation

12 April 2020
Veronica Latcinnik
Jonathan Berant
    LRM
ArXivPDFHTML

Papers citing "Explaining Question Answering Models through Text Generation"

20 / 20 papers shown
Title
Beyond Labels: Empowering Human Annotators with Natural Language
  Explanations through a Novel Active-Learning Architecture
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
Explicit Planning Helps Language Models in Logical Reasoning
Explicit Planning Helps Language Models in Logical Reasoning
Hongyu Zhao
Kangrui Wang
Mo Yu
Hongyuan Mei
LRM
ReLM
40
15
0
28 Mar 2023
Explanation Regeneration via Information Bottleneck
Explanation Regeneration via Information Bottleneck
Qintong Li
Zhiyong Wu
Lingpeng Kong
Wei Bi
30
3
0
19 Dec 2022
Rainier: Reinforced Knowledge Introspector for Commonsense Question
  Answering
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering
Jiacheng Liu
Skyler Hallinan
Ximing Lu
Pengfei He
Sean Welleck
Hannaneh Hajishirzi
Yejin Choi
RALM
26
59
0
06 Oct 2022
Interactive Question Answering Systems: Literature Review
Interactive Question Answering Systems: Literature Review
Giovanni Maria Biancofiore
Yashar Deldjoo
Tommaso Di Noia
E. Sciascio
Fedelucio Narducci
34
13
0
04 Sep 2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer
  Explanation
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation
Ruixin Hong
Hongming Zhang
Xintong Yu
Changshui Zhang
ReLM
LRM
32
32
0
05 May 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
21
142
0
16 Dec 2021
Few-Shot Self-Rationalization with Natural Language Prompts
Few-Shot Self-Rationalization with Natural Language Prompts
Ana Marasović
Iz Beltagy
Doug Downey
Matthew E. Peters
LRM
26
106
0
16 Nov 2021
Generated Knowledge Prompting for Commonsense Reasoning
Generated Knowledge Prompting for Commonsense Reasoning
Jiacheng Liu
Alisa Liu
Ximing Lu
Sean Welleck
Peter West
Ronan Le Bras
Yejin Choi
Hannaneh Hajishirzi
KELM
RALM
ReLM
LLMAG
LRM
42
311
0
15 Oct 2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop
  Reading Comprehension
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
Naoya Inoue
H. Trivedi
Steven K. Sinha
Niranjan Balasubramanian
Kentaro Inui
58
14
0
14 Sep 2021
Are Training Resources Insufficient? Predict First Then Explain!
Are Training Resources Insufficient? Predict First Then Explain!
Myeongjun Jang
Thomas Lukasiewicz
LRM
21
7
0
29 Aug 2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks
Prompting Contrastive Explanations for Commonsense Reasoning Tasks
Bhargavi Paranjape
Julian Michael
Marjan Ghazvininejad
Luke Zettlemoyer
Hannaneh Hajishirzi
ReLM
LRM
22
66
0
12 Jun 2021
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
15
42
0
14 Dec 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales
  Without Supervision
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
Max Glockner
Ivan Habernal
Iryna Gurevych
LRM
27
25
0
07 Oct 2020
A Survey on Explainability in Machine Reading Comprehension
A Survey on Explainability in Machine Reading Comprehension
Mokanarangan Thayaparan
Marco Valentino
André Freitas
FaML
12
50
0
01 Oct 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
19
257
0
11 Apr 2020
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
417
2,588
0
03 Sep 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
242
320
0
21 Aug 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
260
620
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
190
576
0
02 May 2018
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