ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.11160
  4. Cited By
Unsupervised Explanation Generation via Correct Instantiations

Unsupervised Explanation Generation via Correct Instantiations

21 November 2022
Sijie Cheng
Zhiyong Wu
Jiangjie Chen
Zhixing Li
Yang Liu
Lingpeng Kong
    ReLMLRM
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Explanation Generation via Correct Instantiations"

35 / 35 papers shown
Title
Selection-Inference: Exploiting Large Language Models for Interpretable
  Logical Reasoning
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell
Murray Shanahan
I. Higgins
ReLMLRM
103
363
0
19 May 2022
OPT: Open Pre-trained Transformer Language Models
OPT: Open Pre-trained Transformer Language Models
Susan Zhang
Stephen Roller
Naman Goyal
Mikel Artetxe
Moya Chen
...
Daniel Simig
Punit Singh Koura
Anjali Sridhar
Tianlu Wang
Luke Zettlemoyer
VLMOSLMAI4CE
336
3,667
0
02 May 2022
STaR: Bootstrapping Reasoning With Reasoning
STaR: Bootstrapping Reasoning With Reasoning
E. Zelikman
Yuhuai Wu
Jesse Mu
Noah D. Goodman
ReLMLRM
140
488
0
28 Mar 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLMBDLLRMAI4CE
519
3,646
0
21 Mar 2022
Describing Differences between Text Distributions with Natural Language
Describing Differences between Text Distributions with Natural Language
Ruiqi Zhong
Charles Burton Snell
Dan Klein
Jacob Steinhardt
VLM
182
44
0
28 Jan 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&RoLRMAI4CEReLM
817
9,576
0
28 Jan 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
57
149
0
16 Dec 2021
Unsupervised Editing for Counterfactual Stories
Unsupervised Editing for Counterfactual Stories
Jiangjie Chen
Chun Gan
Sijie Cheng
Hao Zhou
Yanghua Xiao
Lei Li
105
12
0
10 Dec 2021
Training Verifiers to Solve Math Word Problems
Training Verifiers to Solve Math Word Problems
K. Cobbe
V. Kosaraju
Mohammad Bavarian
Mark Chen
Heewoo Jun
...
Jerry Tworek
Jacob Hilton
Reiichiro Nakano
Christopher Hesse
John Schulman
ReLMOffRLLRM
306
4,408
0
27 Oct 2021
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
342
1,702
0
15 Oct 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
ReLMLRM
61
68
0
12 Jun 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILawLRM
406
1,185
0
18 Apr 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural
  Language Processing
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing
Sarah Wiegreffe
Ana Marasović
XAI
65
145
0
24 Feb 2021
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
Alexis Ross
Ana Marasović
Matthew E. Peters
71
122
0
27 Dec 2020
BUT-FIT at SemEval-2020 Task 4: Multilingual commonsense
BUT-FIT at SemEval-2020 Task 4: Multilingual commonsense
Josef Jon
Martin Fajcik
Martin Docekal
Pavel Smrz
67
5
0
17 Aug 2020
On Commonsense Cues in BERT for Solving Commonsense Tasks
On Commonsense Cues in BERT for Solving Commonsense Tasks
Leyang Cui
Sijie Cheng
Yu Wu
Yue Zhang
SSLCMLLRM
51
15
0
10 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
102
99
0
01 Jul 2020
ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense
  reasoNing (UNION)
ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION)
Anandh Perumal
Chenyang Huang
Amine Trabelsi
Osmar R. Zaïane
ReLMLRM
47
4
0
29 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
799
42,055
0
28 May 2020
KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for
  Comprehension And Generation
KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension And Generation
Jiajing Wan
Xinting Huang
LRM
52
5
0
24 May 2020
MoverScore: Text Generation Evaluating with Contextualized Embeddings
  and Earth Mover Distance
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
Wei Zhao
Maxime Peyrard
Fei Liu
Yang Gao
Christian M. Meyer
Steffen Eger
174
598
0
05 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.3K
12,226
0
27 Aug 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
320
326
0
21 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
665
24,464
0
26 Jul 2019
Probing Neural Network Comprehension of Natural Language Arguments
Probing Neural Network Comprehension of Natural Language Arguments
Timothy Niven
Hung-Yu kao
AAML
88
454
0
17 Jul 2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Nazneen Rajani
Bryan McCann
Caiming Xiong
R. Socher
ReLMLRM
82
565
0
06 Jun 2019
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
Cunxiang Wang
Shuailong Liang
Yue Zhang
Xiaonan Li
Tian Gao
LRM
58
111
0
02 Jun 2019
BERTScore: Evaluating Text Generation with BERT
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang
Varsha Kishore
Felix Wu
Kilian Q. Weinberger
Yoav Artzi
329
5,845
0
21 Apr 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
417
638
0
04 Dec 2018
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
Ning Miao
Hao Zhou
Lili Mou
Rui Yan
Lei Li
132
194
0
14 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
94,891
0
11 Oct 2018
Multimodal Explanations: Justifying Decisions and Pointing to the
  Evidence
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
Dong Huk Park
Lisa Anne Hendricks
Zeynep Akata
Anna Rohrbach
Bernt Schiele
Trevor Darrell
Marcus Rohrbach
75
422
0
15 Feb 2018
Why We Need New Evaluation Metrics for NLG
Why We Need New Evaluation Metrics for NLG
Jekaterina Novikova
Ondrej Dusek
Amanda Cercas Curry
Verena Rieser
84
461
0
21 Jul 2017
Rationalizing Neural Predictions
Rationalizing Neural Predictions
Tao Lei
Regina Barzilay
Tommi Jaakkola
118
812
0
13 Jun 2016
Generating Visual Explanations
Generating Visual Explanations
Lisa Anne Hendricks
Zeynep Akata
Marcus Rohrbach
Jeff Donahue
Bernt Schiele
Trevor Darrell
VLMFAtt
84
620
0
28 Mar 2016
1