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

50 / 161 papers shown
Title
Search-Based Correction of Reasoning Chains for Language Models
Search-Based Correction of Reasoning Chains for Language Models
Minsu Kim
Jean-Pierre Falet
Oliver E. Richardson
Xiaoyin Chen
Moksh Jain
Sungjin Ahn
Sungsoo Ahn
Yoshua Bengio
KELM
ReLM
LRM
28
0
0
17 May 2025
Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning
Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning
Yoichi Ishibashi
Taro Yano
Masafumi Oyamada
SyDa
LRM
55
1
0
15 May 2025
Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability
Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability
Daniel Hendriks
Philipp Spitzer
Niklas Kühl
G. Satzger
31
2
0
22 Apr 2025
ClarityEthic: Explainable Moral Judgment Utilizing Contrastive Ethical Insights from Large Language Models
ClarityEthic: Explainable Moral Judgment Utilizing Contrastive Ethical Insights from Large Language Models
Yuxi Sun
Wei Gao
Jing Ma
Hongzhan Lin
Ziyang Luo
Wenxuan Zhang
ELM
92
0
0
17 Dec 2024
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
Huaizhi Ge
Yiming Li
Qifan Wang
Yongfeng Zhang
Ruixiang Tang
AAML
SILM
86
0
0
19 Nov 2024
Efficient Knowledge Distillation: Empowering Small Language Models with
  Teacher Model Insights
Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights
Mohamad Ballout
U. Krumnack
Gunther Heidemann
Kai-Uwe Kühnberger
40
2
0
19 Sep 2024
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models
Bowen Wang
Jiuyang Chang
Yiming Qian
Guoxin Chen
Junhao Chen
Zhouqiang Jiang
Jiahao Zhang
Yuta Nakashima
Hajime Nagahara
LM&MA
ELM
LRM
42
3
0
04 Aug 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
Nitay Calderon
Roi Reichart
47
13
0
27 Jul 2024
Explanation Regularisation through the Lens of Attributions
Explanation Regularisation through the Lens of Attributions
Pedro Ferreira
Wilker Aziz
Ivan Titov
56
1
0
23 Jul 2024
Retrieved In-Context Principles from Previous Mistakes
Retrieved In-Context Principles from Previous Mistakes
Hao Sun
Yong-jia Jiang
Bo Wang
Yingyan Hou
Yan Zhang
Pengjun Xie
Fei Huang
63
1
0
08 Jul 2024
A look under the hood of the Interactive Deep Learning Enterprise
  (No-IDLE)
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)
Daniel Sonntag
Michael Barz
Thiago S. Gouvêa
VLM
54
4
0
27 Jun 2024
Large Language Models Cannot Explain Themselves
Large Language Models Cannot Explain Themselves
Advait Sarkar
LRM
48
7
0
07 May 2024
Okay, Let's Do This! Modeling Event Coreference with Generated
  Rationales and Knowledge Distillation
Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation
Abhijnan Nath
Shadi Manafi
Avyakta Chelle
Nikhil Krishnaswamy
45
1
0
04 Apr 2024
Exploring the Trade-off Between Model Performance and Explanation
  Plausibility of Text Classifiers Using Human Rationales
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
Lucas Resck
Marcos M. Raimundo
Jorge Poco
55
1
0
03 Apr 2024
A Logical Pattern Memory Pre-trained Model for Entailment Tree
  Generation
A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation
Li Yuan
Yi Cai
Haopeng Ren
Jiexin Wang
LRM
30
5
0
11 Mar 2024
CMA-R:Causal Mediation Analysis for Explaining Rumour Detection
CMA-R:Causal Mediation Analysis for Explaining Rumour Detection
Lin Tian
Xiuzhen Zhang
Jey Han Lau
37
0
0
13 Feb 2024
Foundation Model Sherpas: Guiding Foundation Models through Knowledge
  and Reasoning
Foundation Model Sherpas: Guiding Foundation Models through Knowledge and Reasoning
D. Bhattacharjya
Junkyu Lee
Don Joven Agravante
Balaji Ganesan
Radu Marinescu
LLMAG
38
1
0
02 Feb 2024
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning
Yougang Lyu
Jitai Hao
Zihan Wang
Kai Zhao
Shen Gao
Pengjie Ren
Zhumin Chen
Fang Wang
Zhaochun Ren
AILaw
32
9
0
10 Dec 2023
Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go
  without Hallucination?
Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?
Bangzheng Li
Ben Zhou
Fei Wang
Xingyu Fu
Dan Roth
Muhao Chen
HILM
LRM
34
16
0
16 Nov 2023
Mirror: A Universal Framework for Various Information Extraction Tasks
Mirror: A Universal Framework for Various Information Extraction Tasks
Tong Zhu
Junfei Ren
Zijian Yu
Mengsong Wu
Guoliang Zhang
Xiaoye Qu
Wenliang Chen
Zhefeng Wang
Baoxing Huai
Min Zhang
48
14
0
09 Nov 2023
From Heuristic to Analytic: Cognitively Motivated Strategies for
  Coherent Physical Commonsense Reasoning
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning
Zheyuan Zhang
Shane Storks
Fengyuan Hu
Sungryull Sohn
Moontae Lee
Honglak Lee
Joyce Chai
LRM
44
3
0
24 Oct 2023
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable
  Autonomous Driving
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving
Long Chen
Oleg Sinavski
Jan Hünermann
Alice Karnsund
Andrew James Willmott
Danny Birch
Daniel Maund
Jamie Shotton
MLLM
22
189
0
03 Oct 2023
Interpretable Long-Form Legal Question Answering with
  Retrieval-Augmented Large Language Models
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models
Antoine Louis
Gijs van Dijck
Gerasimos Spanakis
ELM
AILaw
32
36
0
29 Sep 2023
Situated Natural Language Explanations
Situated Natural Language Explanations
Zining Zhu
Hao Jiang
Jingfeng Yang
Sreyashi Nag
Chao Zhang
Jie Huang
Yifan Gao
Frank Rudzicz
Bing Yin
LRM
49
1
0
27 Aug 2023
Power-up! What Can Generative Models Do for Human Computation Workflows?
Power-up! What Can Generative Models Do for Human Computation Workflows?
Garrett Allen
Gaole He
U. Gadiraju
53
3
0
05 Jul 2023
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering
Jie He
U. SimonChiLok
Víctor Gutiérrez-Basulto
Jeff Z. Pan
56
10
0
25 May 2023
Improving Factuality and Reasoning in Language Models through Multiagent
  Debate
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Yilun Du
Shuang Li
Antonio Torralba
J. Tenenbaum
Igor Mordatch
LLMAG
LRM
79
629
0
23 May 2023
MaNtLE: Model-agnostic Natural Language Explainer
MaNtLE: Model-agnostic Natural Language Explainer
Rakesh R Menon
Kerem Zaman
Shashank Srivastava
FAtt
LRM
29
2
0
22 May 2023
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist
  Examination
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination
Dongfang Li
Jindi Yu
Baotian Hu
Zhenran Xu
Hao Fei
ELM
37
11
0
22 May 2023
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
41
11
0
22 May 2023
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting
  for Reasoning Skills of Large Language Models
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models
Badr AlKhamissi
Siddharth Verma
Ping Yu
Zhijing Jin
Asli Celikyilmaz
Mona T. Diab
LRM
ReLM
35
10
0
19 May 2023
Explaining black box text modules in natural language with language
  models
Explaining black box text modules in natural language with language models
Chandan Singh
Aliyah R. Hsu
Richard Antonello
Shailee Jain
Alexander G. Huth
Bin-Xia Yu
Jianfeng Gao
MILM
39
49
0
17 May 2023
What's the Meaning of Superhuman Performance in Today's NLU?
What's the Meaning of Superhuman Performance in Today's NLU?
Simone Tedeschi
Johan Bos
T. Declerck
Jan Hajic
Daniel Hershcovich
...
Simon Krek
Steven Schockaert
Rico Sennrich
Ekaterina Shutova
Roberto Navigli
ELM
LM&MA
VLM
ReLM
LRM
47
26
0
15 May 2023
Leveraging Large Language Models in Conversational Recommender Systems
Leveraging Large Language Models in Conversational Recommender Systems
Luke Friedman
Sameer Ahuja
David Allen
Zhenning Tan
Hakim Sidahmed
...
Ajay Patel
Harsh Lara
Brian Chu
Zexiang Chen
Manoj Kumar Tiwari
37
105
0
13 May 2023
SkillQG: Learning to Generate Question for Reading Comprehension
  Assessment
SkillQG: Learning to Generate Question for Reading Comprehension Assessment
Xiaoqiang Wang
Bang Liu
Siliang Tang
Lingfei Wu
32
3
0
08 May 2023
Are Human Explanations Always Helpful? Towards Objective Evaluation of
  Human Natural Language Explanations
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations
Bingsheng Yao
Prithviraj Sen
Lucian Popa
James A. Hendler
Dakuo Wang
XAI
ELM
FAtt
27
10
0
04 May 2023
Chain-of-Thought Predictive Control
Chain-of-Thought Predictive Control
Zhiwei Jia
Vineet Thumuluri
Fangchen Liu
Ling-Hao Chen
Zhiao Huang
H. Su
LM&Ro
57
20
0
03 Apr 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
17
0
28 Mar 2023
Natural Language Reasoning, A Survey
Natural Language Reasoning, A Survey
Fei Yu
Hongbo Zhang
Prayag Tiwari
Benyou Wang
ReLM
LRM
56
54
0
26 Mar 2023
Learning to Initialize: Can Meta Learning Improve Cross-task
  Generalization in Prompt Tuning?
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Chengwei Qin
Q. Li
Ruochen Zhao
Chenyu You
VLM
LRM
28
15
0
16 Feb 2023
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark
D. Ribeiro
Shen Wang
Xiaofei Ma
He Zhu
Rui Dong
...
William Yang Wang
Zhiheng Huang
George Karypis
Bing Xiang
Dan Roth
LRM
ReLM
33
23
0
13 Feb 2023
Understanding Political Polarisation using Language Models: A dataset
  and method
Understanding Political Polarisation using Language Models: A dataset and method
Samiran Gode
Supreeth Bare
Bhiksha Raj
H. Yoo
24
0
0
02 Jan 2023
OPT-IML: Scaling Language Model Instruction Meta Learning through the
  Lens of Generalization
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization
Srinivasan Iyer
Xi Lin
Ramakanth Pasunuru
Todor Mihaylov
Daniel Simig
...
Jeff Wang
Christopher Dewan
Asli Celikyilmaz
Luke Zettlemoyer
Veselin Stoyanov
ALM
49
261
0
22 Dec 2022
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss
  Policy for Transfer Learning
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning
Christopher T. Lengerich
Gabriel Synnaeve
Amy Zhang
Hugh Leather
Kurt Shuster
Franccois Charton
Charysse Redwood
SSL
OffRL
37
1
0
21 Dec 2022
Towards Reasoning in Large Language Models: A Survey
Towards Reasoning in Large Language Models: A Survey
Jie Huang
Kevin Chen-Chuan Chang
LM&MA
ELM
LRM
37
588
0
20 Dec 2022
Explanation Regeneration via Information Bottleneck
Explanation Regeneration via Information Bottleneck
Qintong Li
Zhiyong Wu
Lingpeng Kong
Wei Bi
40
3
0
19 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
Dazhou Yu
Liang Zhao
34
39
0
07 Dec 2022
Harnessing Knowledge and Reasoning for Human-Like Natural Language
  Generation: A Brief Review
Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review
Jiangjie Chen
Yanghua Xiao
55
4
0
07 Dec 2022
Counterfactual reasoning: Do language models need world knowledge for
  causal understanding?
Counterfactual reasoning: Do language models need world knowledge for causal understanding?
Jiaxuan Li
Lang-Chi Yu
Allyson Ettinger
CML
LRM
30
1
0
06 Dec 2022
Legal Prompting: Teaching a Language Model to Think Like a Lawyer
Legal Prompting: Teaching a Language Model to Think Like a Lawyer
Fang Yu
Lee Quartey
Frank Schilder
ELM
LRM
18
64
0
02 Dec 2022
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