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Does It Make Sense? And Why? A Pilot Study for Sense Making and
  Explanation

Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation

2 June 2019
Cunxiang Wang
Shuailong Liang
Yue Zhang
Xiaonan Li
Tian Gao
    LRM
ArXivPDFHTML

Papers citing "Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation"

31 / 31 papers shown
Title
The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation
Jie He
Tao Wang
Deyi Xiong
Qun Liu
ELM
LRM
82
27
0
05 Mar 2025
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Jing Yang
Max Glockner
Anderson de Rezende Rocha
Iryna Gurevych
LRM
75
1
0
07 Feb 2025
Contextual Breach: Assessing the Robustness of Transformer-based QA
  Models
Contextual Breach: Assessing the Robustness of Transformer-based QA Models
Asir Saadat
Nahian Ibn Asad
Md Farhan Ishmam
AAML
46
0
0
17 Sep 2024
PORT: Preference Optimization on Reasoning Traces
PORT: Preference Optimization on Reasoning Traces
Salem Lahlou
Abdalgader Abubaker
Hakim Hacid
LRM
46
2
0
23 Jun 2024
NormBank: A Knowledge Bank of Situational Social Norms
NormBank: A Knowledge Bank of Situational Social Norms
Caleb Ziems
Jane Dwivedi-Yu
Yi-Chia Wang
A. Halevy
Diyi Yang
41
41
0
26 May 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly
  Generating Predictions and Natural Language Explanations
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
Jesus Solano
Oana-Maria Camburu
Pasquale Minervini
22
1
0
22 May 2023
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness,
  Consistency, and Credibility
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility
Wen-song Ye
Mingfeng Ou
Tianyi Li
Yipeng Chen
Xuetao Ma
...
Sai Wu
Jie Fu
Gang Chen
Haobo Wang
Jun Zhao
46
36
0
15 May 2023
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
Xiaonan Li
Xipeng Qiu
ReLM
KELM
LRM
AI4MH
29
33
0
09 May 2023
Unified Demonstration Retriever for In-Context Learning
Unified Demonstration Retriever for In-Context Learning
Xiaonan Li
Kai Lv
Hang Yan
Tianya Lin
Wei-wei Zhu
Yuan Ni
Guotong Xie
Xiaoling Wang
Xipeng Qiu
RALM
VPVLM
27
121
0
07 May 2023
Neural Keyphrase Generation: Analysis and Evaluation
Neural Keyphrase Generation: Analysis and Evaluation
Tuhin Kundu
Jishnu Ray Chowdhury
Cornelia Caragea
31
0
0
27 Apr 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
39
261
0
22 Dec 2022
Explanation Regeneration via Information Bottleneck
Explanation Regeneration via Information Bottleneck
Qintong Li
Zhiyong Wu
Lingpeng Kong
Wei Bi
30
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
31
39
0
07 Dec 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
ReLM
LRM
103
3,012
0
20 Oct 2022
Diversifying Content Generation for Commonsense Reasoning with Mixture
  of Knowledge Graph Experts
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
Wenhao Yu
Chenguang Zhu
Lianhui Qin
Zhihan Zhang
Tong Zhao
Meng Jiang
LRM
28
31
0
14 Mar 2022
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
28
106
0
16 Nov 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural
  Language Explanations
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
Bodhisattwa Prasad Majumder
Oana-Maria Camburu
Thomas Lukasiewicz
Julian McAuley
27
35
0
25 Jun 2021
Can Generative Pre-trained Language Models Serve as Knowledge Bases for
  Closed-book QA?
Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA?
Cunxiang Wang
Pai Liu
Yue Zhang
RALM
42
80
0
03 Jun 2021
Local Interpretations for Explainable Natural Language Processing: A
  Survey
Local Interpretations for Explainable Natural Language Processing: A Survey
Siwen Luo
Hamish Ivison
S. Han
Josiah Poon
MILM
43
48
0
20 Mar 2021
Constrained Text Generation with Global Guidance -- Case Study on
  CommonGen
Constrained Text Generation with Global Guidance -- Case Study on CommonGen
Yixian Liu
Liwen Zhang
Wenjuan Han
Yue Zhang
Kewei Tu
41
9
0
12 Mar 2021
When Can Models Learn From Explanations? A Formal Framework for
  Understanding the Roles of Explanation Data
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data
Peter Hase
Joey Tianyi Zhou
XAI
25
87
0
03 Feb 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
A Survey on Explainability in Machine Reading Comprehension
A Survey on Explainability in Machine Reading Comprehension
Mokanarangan Thayaparan
Marco Valentino
André Freitas
FaML
17
50
0
01 Oct 2020
Generating Commonsense Explanation by Extracting Bridge Concepts from
  Reasoning Paths
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths
Haozhe Ji
Pei Ke
Shaohan Huang
Furu Wei
Minlie Huang
ReLM
LRM
17
24
0
24 Sep 2020
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge
  Graph
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph
Haozhe Ji
Pei Ke
Shaohan Huang
Furu Wei
Xiaoyan Zhu
Minlie Huang
ReLM
LRM
16
114
0
24 Sep 2020
Biomedical Event Extraction with Hierarchical Knowledge Graphs
Biomedical Event Extraction with Hierarchical Knowledge Graphs
Kung-Hsiang Huang
Mu Yang
Nanyun Peng
19
29
0
20 Sep 2020
Is this sentence valid? An Arabic Dataset for Commonsense Validation
Is this sentence valid? An Arabic Dataset for Commonsense Validation
Saja Khaled Tawalbeh
Mohammad Al-Smadi
21
2
0
25 Aug 2020
SemEval-2020 Task 4: Commonsense Validation and Explanation
SemEval-2020 Task 4: Commonsense Validation and Explanation
Cunxiang Wang
Shuailong Liang
Yili Jin
Yilong Wang
Xiao-Dan Zhu
Yue Zhang
LRM
25
98
0
01 Jul 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
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,591
0
21 Jan 2020
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
Bill Yuchen Lin
Xinyue Chen
Jamin Chen
Xiang Ren
24
460
0
04 Sep 2019
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