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Explain Yourself! Leveraging Language Models for Commonsense Reasoning

Explain Yourself! Leveraging Language Models for Commonsense Reasoning

6 June 2019
Nazneen Rajani
Bryan McCann
Caiming Xiong
R. Socher
    ReLMLRM
ArXiv (abs)PDFHTML

Papers citing "Explain Yourself! Leveraging Language Models for Commonsense Reasoning"

50 / 399 papers shown
Title
Distilling Reasoning Capabilities into Smaller Language Models
Distilling Reasoning Capabilities into Smaller Language Models
Kumar Shridhar
Alessandro Stolfo
Mrinmaya Sachan
LRMReLM
127
176
0
01 Dec 2022
GPT-Neo for commonsense reasoning -- a theoretical and practical lens
GPT-Neo for commonsense reasoning -- a theoretical and practical lens
Rohan Kashyap
Vivek Kashyap
Narendra C.P
ReLMELMLRM
84
7
0
28 Nov 2022
Unsupervised Explanation Generation via Correct Instantiations
Unsupervised Explanation Generation via Correct Instantiations
Sijie Cheng
Zhiyong Wu
Jiangjie Chen
Zhixing Li
Yang Liu
Lingpeng Kong
ReLMLRM
80
5
0
21 Nov 2022
Towards Explaining Subjective Ground of Individuals on Social Media
Towards Explaining Subjective Ground of Individuals on Social Media
Younghun Lee
Dan Goldwasser
63
1
0
18 Nov 2022
Are Hard Examples also Harder to Explain? A Study with Human and
  Model-Generated Explanations
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations
Swarnadeep Saha
Peter Hase
Nazneen Rajani
Joey Tianyi Zhou
LRM
68
15
0
14 Nov 2022
Towards Human-Centred Explainability Benchmarks For Text Classification
Towards Human-Centred Explainability Benchmarks For Text Classification
Viktor Schlegel
Erick Mendez Guzman
Riza Batista-Navarro
96
5
0
10 Nov 2022
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
Peifeng Wang
Aaron Chan
Filip Ilievski
Muhao Chen
Xiang Ren
LRMReLM
117
65
0
03 Nov 2022
Natural Language Deduction with Incomplete Information
Natural Language Deduction with Incomplete Information
Zayne Sprague
Kaj Bostrom
Swarat Chaudhuri
Greg Durrett
LRM
93
17
0
01 Nov 2022
RLET: A Reinforcement Learning Based Approach for Explainable QA with
  Entailment Trees
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees
Tengxiao Liu
Qipeng Guo
Xiangkun Hu
Yue Zhang
Xipeng Qiu
Zheng Zhang
LRM
75
14
0
31 Oct 2022
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language
  Models
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
Xiaoman Pan
Wenlin Yao
Hongming Zhang
Dian Yu
Dong Yu
Jianshu Chen
KELM
296
25
0
28 Oct 2022
Does Self-Rationalization Improve Robustness to Spurious Correlations?
Does Self-Rationalization Improve Robustness to Spurious Correlations?
Alexis Ross
Matthew E. Peters
Ana Marasović
LRM
104
13
0
24 Oct 2022
ExPUNations: Augmenting Puns with Keywords and Explanations
ExPUNations: Augmenting Puns with Keywords and Explanations
Jiao Sun
Anjali Narayan-Chen
Shereen Oraby
Alessandra Cervone
Tagyoung Chung
Jing Huang
Yang Liu
Nanyun Peng
81
10
0
24 Oct 2022
Different Tunes Played with Equal Skill: Exploring a Unified
  Optimization Subspace for Delta Tuning
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning
Jing Yi
Weize Chen
Yujia Qin
Yankai Lin
Ning Ding
Xu Han
Zhiyuan Liu
Maosong Sun
Jie Zhou
113
2
0
24 Oct 2022
Learning to Perform Complex Tasks through Compositional Fine-Tuning of
  Language Models
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models
Victor S. Bursztyn
David Demeter
Doug Downey
Larry Birnbaum
ReLMLRM
83
10
0
23 Oct 2022
WikiWhy: Answering and Explaining Cause-and-Effect Questions
WikiWhy: Answering and Explaining Cause-and-Effect Questions
Matthew Ho
Aditya Sharma
Justin Chang
Michael Stephen Saxon
Sharon Levy
Yujie Lu
William Yang Wang
ReLMKELMLRM
159
19
0
21 Oct 2022
Towards Human-centered Explainable AI: A Survey of User Studies for
  Model Explanations
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong
Tobias Leemann
Thai-trang Nguyen
Lisa Fiedler
Peizhu Qian
Vaibhav Unhelkar
Tina Seidel
Gjergji Kasneci
Enkelejda Kasneci
ELM
114
103
0
20 Oct 2022
Scaling Instruction-Finetuned Language Models
Scaling Instruction-Finetuned Language Models
Hyung Won Chung
Le Hou
Shayne Longpre
Barret Zoph
Yi Tay
...
Jacob Devlin
Adam Roberts
Denny Zhou
Quoc V. Le
Jason W. Wei
ReLMLRM
309
3,178
0
20 Oct 2022
Zero-Shot Learners for Natural Language Understanding via a Unified
  Multiple Choice Perspective
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective
Ping Yang
Junjie Wang
Ruyi Gan
Xinyu Zhu
Lin Zhang
Ziwei Wu
Xinyu Gao
Jiaxing Zhang
Tetsuya Sakai
BDL
71
26
0
16 Oct 2022
Explanations from Large Language Models Make Small Reasoners Better
Explanations from Large Language Models Make Small Reasoners Better
Shiyang Li
Jianshu Chen
Yelong Shen
Zhiyu Zoey Chen
Xinlu Zhang
...
Jingu Qian
Baolin Peng
Yi Mao
Wenhu Chen
Xifeng Yan
ReLMLRM
107
138
0
13 Oct 2022
REV: Information-Theoretic Evaluation of Free-Text Rationales
REV: Information-Theoretic Evaluation of Free-Text Rationales
Hanjie Chen
Faeze Brahman
Xiang Ren
Yangfeng Ji
Yejin Choi
Swabha Swayamdipta
142
24
0
10 Oct 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
99
60
0
06 Oct 2022
Efficiently Enhancing Zero-Shot Performance of Instruction Following
  Model via Retrieval of Soft Prompt
Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt
Seonghyeon Ye
Joel Jang
Doyoung Kim
Yongrae Jo
Minjoon Seo
VLM
104
2
0
06 Oct 2022
Guess the Instruction! Flipped Learning Makes Language Models Stronger
  Zero-Shot Learners
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
Seonghyeon Ye
Doyoung Kim
Joel Jang
Joongbo Shin
Minjoon Seo
FedMLVLMUQCVLRM
113
25
0
06 Oct 2022
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple
  Tasks
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks
Zhenhailong Wang
Xiaoman Pan
Dian Yu
Dong Yu
Jianshu Chen
Heng Ji
VLM
109
10
0
01 Oct 2022
Towards Faithful Model Explanation in NLP: A Survey
Towards Faithful Model Explanation in NLP: A Survey
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
XAI
237
121
0
22 Sep 2022
Elaboration-Generating Commonsense Question Answering at Scale
Elaboration-Generating Commonsense Question Answering at Scale
Wenya Wang
Vivek Srikumar
Hannaneh Hajishirzi
Noah A. Smith
ELMLRM
76
15
0
02 Sep 2022
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation
  with Large Language Models
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
Hendrik Strobelt
Albert Webson
Victor Sanh
Benjamin Hoover
Johanna Beyer
Hanspeter Pfister
Alexander M. Rush
VLM
78
142
0
16 Aug 2022
Active entailment encoding for explanation tree construction using
  parsimonious generation of hard negatives
Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives
Alex Bogatu
Zili Zhou
Dónal Landers
André Freitas
LRM
48
2
0
02 Aug 2022
An Interpretability Evaluation Benchmark for Pre-trained Language Models
An Interpretability Evaluation Benchmark for Pre-trained Language Models
Ya-Ming Shen
Lijie Wang
Ying-Cong Chen
Xinyan Xiao
Jing Liu
Hua Wu
79
4
0
28 Jul 2022
Explaining Chest X-ray Pathologies in Natural Language
Explaining Chest X-ray Pathologies in Natural Language
Maxime Kayser
Cornelius Emde
Oana-Maria Camburu
Guy Parsons
B. Papież
Thomas Lukasiewicz
MedIm
66
28
0
09 Jul 2022
Can Language Models perform Abductive Commonsense Reasoning?
Can Language Models perform Abductive Commonsense Reasoning?
Seung-Kyum Kim
ReLMLRM
54
1
0
07 Jul 2022
FRAME: Evaluating Rationale-Label Consistency Metrics for Free-Text
  Rationales
FRAME: Evaluating Rationale-Label Consistency Metrics for Free-Text Rationales
Aaron Chan
Shaoliang Nie
Liang Tan
Xiaochang Peng
Hamed Firooz
Maziar Sanjabi
Xiang Ren
118
10
0
02 Jul 2022
Rationale-Augmented Ensembles in Language Models
Rationale-Augmented Ensembles in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Denny Zhou
ReLMLRM
121
126
0
02 Jul 2022
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in
  Low-Resource NLP
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
Yufei Wang
Jiayi Zheng
Can Xu
Xiubo Geng
Tao Shen
Chongyang Tao
Daxin Jiang
VLMMoE
77
2
0
21 Jun 2022
Eliciting and Understanding Cross-Task Skills with Task-Level
  Mixture-of-Experts
Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-Experts
Qinyuan Ye
Juan Zha
Xiang Ren
MoE
80
14
0
25 May 2022
Investigating the Benefits of Free-Form Rationales
Investigating the Benefits of Free-Form Rationales
Jiao Sun
Swabha Swayamdipta
Jonathan May
Xuezhe Ma
90
15
0
25 May 2022
ER-Test: Evaluating Explanation Regularization Methods for Language
  Models
ER-Test: Evaluating Explanation Regularization Methods for Language Models
Brihi Joshi
Aaron Chan
Ziyi Liu
Shaoliang Nie
Maziar Sanjabi
Hamed Firooz
Xiang Ren
AAML
93
6
0
25 May 2022
Logical Satisfiability of Counterfactuals for Faithful Explanations in
  NLI
Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI
Suzanna Sia
Anton Belyy
Amjad Almahairi
Madian Khabsa
Luke Zettlemoyer
Lambert Mathias
LRM
74
13
0
25 May 2022
FLUTE: Figurative Language Understanding through Textual Explanations
FLUTE: Figurative Language Understanding through Textual Explanations
Tuhin Chakrabarty
Arkadiy Saakyan
Debanjan Ghosh
Smaranda Muresan
117
73
0
24 May 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLMLRM
606
4,544
0
24 May 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive
  Explanations
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations
Jaehun Jung
Lianhui Qin
Sean Welleck
Faeze Brahman
Chandra Bhagavatula
Ronan Le Bras
Yejin Choi
ReLMLRM
321
197
0
24 May 2022
Towards Tracing Factual Knowledge in Language Models Back to the
  Training Data
Towards Tracing Factual Knowledge in Language Models Back to the Training Data
Ekin Akyürek
Tolga Bolukbasi
Frederick Liu
Binbin Xiong
Ian Tenney
Jacob Andreas
Kelvin Guu
HILM
53
12
0
23 May 2022
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP
Lijie Wang
Yaozong Shen
Shu-ping Peng
Shuai Zhang
Xinyan Xiao
Hao Liu
Hongxuan Tang
Ying-Cong Chen
Hua Wu
Haifeng Wang
ELM
104
22
0
23 May 2022
Chain of Thought Imitation with Procedure Cloning
Chain of Thought Imitation with Procedure Cloning
Mengjiao Yang
Dale Schuurmans
Pieter Abbeel
Ofir Nachum
OffRL
111
33
0
22 May 2022
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner
D. Ribeiro
Shen Wang
Xiaofei Ma
Rui Dong
Xiaokai Wei
...
Xinchi Chen
Zhiheng Huang
Peng Xu
Andrew O. Arnold
Dan Roth
ReLMLRM
73
37
0
18 May 2022
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning
Li Du
Xiao Ding
Kai Xiong
Ting Liu
Bing Qin
CML
82
67
0
12 May 2022
The Unreliability of Explanations in Few-shot Prompting for Textual
  Reasoning
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning
Xi Ye
Greg Durrett
ReLMLRM
116
186
0
06 May 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
ReLMLRM
95
33
0
05 May 2022
Clues Before Answers: Generation-Enhanced Multiple-Choice QA
Clues Before Answers: Generation-Enhanced Multiple-Choice QA
Zixian Huang
Ao Wu
Jiaying Zhou
Yu Gu
Yue Zhao
Gong Cheng
41
27
0
30 Apr 2022
It Takes Two Flints to Make a Fire: Multitask Learning of Neural
  Relation and Explanation Classifiers
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers
Zheng Tang
Mihai Surdeanu
136
6
0
25 Apr 2022
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