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2012.08012
Cited By
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
AAAI Conference on Artificial Intelligence (AAAI), 2020
14 December 2020
Faeze Brahman
Vered Shwartz
Rachel Rudinger
Yejin Choi
LRM
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Papers citing
"Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision"
26 / 26 papers shown
Everything is Plausible: Investigating the Impact of LLM Rationales on Human Notions of Plausibility
Shramay Palta
Peter Rankel
Sarah Wiegreffe
Rachel Rudinger
166
0
0
09 Oct 2025
Are LLMs classical or nonmonotonic reasoners? Lessons from generics
Alina Leidinger
R. Rooij
Ekaterina Shutova
LRM
329
9
0
05 Jun 2024
Will GPT-4 Run DOOM?
IEEE Transactions on Games (IEEE Trans. Games), 2024
Adrian de Wynter
LM&Ro
MLLM
233
8
0
08 Mar 2024
XplainLLM: A QA Explanation Dataset for Understanding LLM Decision-Making
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Zichen Chen
Jianda Chen
Mitali Gaidhani
Ambuj K. Singh
Misha Sra
247
4
0
15 Nov 2023
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Kavel Rao
Liwei Jiang
Valentina Pyatkin
Yuling Gu
Niket Tandon
Nouha Dziri
Faeze Brahman
Yejin Choi
241
23
0
24 Oct 2023
Traffic-Domain Video Question Answering with Automatic Captioning
Ehsan Qasemi
Jonathan M Francis
A. Oltramari
218
13
0
18 Jul 2023
Preconditioned Visual Language Inference with Weak Supervision
Ehsan Qasemi
Amani Maina-Kilaas
Devadutta Dash
Khalid Alsaggaf
Muhao Chen
231
0
0
22 May 2023
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Bingsheng Yao
Prithviraj Sen
Yatin Nandwani
James A. Hendler
Dakuo Wang
XAI
ELM
FAtt
258
17
0
04 May 2023
KNIFE: Distilling Reasoning Knowledge From Free-Text Rationales
Aaron Chan
Zhiyuan Zeng
Wyatt Lake
Brihi Joshi
Hanjie Chen
Xiang Ren
ReLM
LRM
243
1
0
19 Dec 2022
Explanation Regeneration via Information Bottleneck
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Qintong Li
Zhiyong Wu
Lingpeng Kong
Wei Bi
313
6
0
19 Dec 2022
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Swarnadeep Saha
Peter Hase
Nazneen Rajani
Joey Tianyi Zhou
LRM
222
18
0
14 Nov 2022
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods
Nils Feldhus
Leonhard Hennig
Maximilian Dustin Nasert
Christopher Ebert
Robert Schwarzenberg
Sebastian Möller
FAtt
271
24
0
13 Oct 2022
REV: Information-Theoretic Evaluation of Free-Text Rationales
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Hanjie Chen
Faeze Brahman
Xiang Ren
Yangfeng Ji
Yejin Choi
Swabha Swayamdipta
335
29
0
10 Oct 2022
PInKS: Preconditioned Commonsense Inference with Minimal Supervision
Ehsan Qasemi
Piyush Khanna
Qiang Ning
Muhao Chen
ReLM
LRM
337
8
0
16 Jun 2022
Investigating the Benefits of Free-Form Rationales
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jiao Sun
Swabha Swayamdipta
Jonathan May
Xuezhe Ma
323
16
0
25 May 2022
Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI
AAAI Conference on Artificial Intelligence (AAAI), 2022
Suzanna Sia
Anton Belyy
Amjad Almahairi
Madian Khabsa
Luke Zettlemoyer
Lambert Mathias
LRM
195
17
0
25 May 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jaehun Jung
Lianhui Qin
Sean Welleck
Faeze Brahman
Chandra Bhagavatula
Ronan Le Bras
Yejin Choi
ReLM
LRM
500
227
0
24 May 2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Sarah Wiegreffe
Jack Hessel
Swabha Swayamdipta
Mark O. Riedl
Yejin Choi
287
171
0
16 Dec 2021
Few-Shot Self-Rationalization with Natural Language Prompts
Ana Marasović
Iz Beltagy
Doug Downey
Matthew E. Peters
LRM
333
116
0
16 Nov 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
International Conference on Machine Learning (ICML), 2021
Bodhisattwa Prasad Majumder
Oana-Maria Camburu
Thomas Lukasiewicz
Julian McAuley
404
39
0
25 Jun 2021
On the Diversity and Limits of Human Explanations
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Chenhao Tan
431
39
0
22 Jun 2021
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Swarnadeep Saha
Prateek Yadav
Lisa Bauer
Joey Tianyi Zhou
LRM
371
72
0
15 Apr 2021
Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning Performance of GPT-2
Gregor Betz
Kyle Richardson
Christian Voigt
ReLM
LRM
261
33
0
24 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey
ACM Computing Surveys (CSUR), 2021
Siwen Luo
Michal Guerquin
S. Han
Josiah Poon
MILM
514
64
0
20 Mar 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing
Sarah Wiegreffe
Ana Marasović
XAI
531
163
0
24 Feb 2021
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Ian Tenney
James Wexler
Jasmijn Bastings
Tolga Bolukbasi
Andy Coenen
...
Ellen Jiang
Mahima Pushkarna
Carey Radebaugh
Emily Reif
Ann Yuan
VLM
395
213
0
12 Aug 2020
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