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. 2005.12116
  4. Cited By
NILE : Natural Language Inference with Faithful Natural Language
  Explanations

NILE : Natural Language Inference with Faithful Natural Language Explanations

25 May 2020
Sawan Kumar
Partha P. Talukdar
    XAI
    LRM
ArXivPDFHTML

Papers citing "NILE : Natural Language Inference with Faithful Natural Language Explanations"

48 / 98 papers shown
Title
Investigating the Benefits of Free-Form Rationales
Investigating the Benefits of Free-Form Rationales
Jiao Sun
Swabha Swayamdipta
Jonathan May
Xuezhe Ma
24
14
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
27
13
0
25 May 2022
Logical Reasoning with Span-Level Predictions for Interpretable and
  Robust NLI Models
Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models
Joe Stacey
Pasquale Minervini
Haim Dubossarsky
Marek Rei
ReLM
LRM
35
14
0
23 May 2022
A survey on improving NLP models with human explanations
A survey on improving NLP models with human explanations
Mareike Hartmann
Daniel Sonntag
LRM
40
21
0
19 Apr 2022
Generating Full Length Wikipedia Biographies: The Impact of Gender Bias
  on the Retrieval-Based Generation of Women Biographies
Generating Full Length Wikipedia Biographies: The Impact of Gender Bias on the Retrieval-Based Generation of Women Biographies
Angela Fan
Claire Gardent
27
4
0
12 Apr 2022
Using Interactive Feedback to Improve the Accuracy and Explainability of
  Question Answering Systems Post-Deployment
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment
Zichao Li
Prakhar Sharma
Xing Han Lù
Jackie C.K. Cheung
Siva Reddy
HAI
25
26
0
06 Apr 2022
Interpretation of Black Box NLP Models: A Survey
Interpretation of Black Box NLP Models: A Survey
Shivani Choudhary
N. Chatterjee
S. K. Saha
FAtt
34
10
0
31 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation
Towards Explainable Evaluation Metrics for Natural Language Generation
Christoph Leiter
Piyawat Lertvittayakumjorn
M. Fomicheva
Wei Zhao
Yang Gao
Steffen Eger
AAML
ELM
30
20
0
21 Mar 2022
An Empirical Study on Explanations in Out-of-Domain Settings
An Empirical Study on Explanations in Out-of-Domain Settings
G. Chrysostomou
Nikolaos Aletras
LRM
17
27
0
28 Feb 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic
  Review on Evaluating Explainable AI
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELM
XAI
28
399
0
20 Jan 2022
UNIREX: A Unified Learning Framework for Language Model Rationale
  Extraction
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
Aaron Chan
Maziar Sanjabi
Lambert Mathias
L Tan
Shaoliang Nie
Xiaochang Peng
Xiang Ren
Hamed Firooz
46
42
0
16 Dec 2021
Few-Shot Out-of-Domain Transfer Learning of Natural Language
  Explanations in a Label-Abundant Setup
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup
Yordan Yordanov
Vid Kocijan
Thomas Lukasiewicz
Oana-Maria Camburu
33
18
0
12 Dec 2021
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MA
VLM
AI4CE
83
1,039
0
01 Nov 2021
Interpreting Deep Learning Models in Natural Language Processing: A
  Review
Interpreting Deep Learning Models in Natural Language Processing: A Review
Xiaofei Sun
Diyi Yang
Xiaoya Li
Tianwei Zhang
Yuxian Meng
Han Qiu
Guoyin Wang
Eduard H. Hovy
Jiwei Li
21
45
0
20 Oct 2021
A Framework for Learning to Request Rich and Contextually Useful
  Information from Humans
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
Khanh Nguyen
Yonatan Bisk
Hal Daumé
51
16
0
14 Oct 2021
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Zijun Wu
Zi Xuan Zhang
Atharva Naik
Zhijian Mei
Mauajama Firdaus
Lili Mou
LRM
NAI
49
14
0
18 Sep 2021
Does External Knowledge Help Explainable Natural Language Inference?
  Automatic Evaluation vs. Human Ratings
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings
Hendrik Schuff
Hsiu-yu Yang
Heike Adel
Ngoc Thang Vu
ELM
ReLM
LRM
49
13
0
16 Sep 2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop
  Reading Comprehension
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
Naoya Inoue
H. Trivedi
Steven K. Sinha
Niranjan Balasubramanian
Kentaro Inui
58
14
0
14 Sep 2021
D-REX: Dialogue Relation Extraction with Explanations
D-REX: Dialogue Relation Extraction with Explanations
Alon Albalak
Varun R. Embar
Yi-Lin Tuan
Lise Getoor
Wenjie Wang
67
9
0
10 Sep 2021
Diagnostics-Guided Explanation Generation
Diagnostics-Guided Explanation Generation
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
LRM
FAtt
43
6
0
08 Sep 2021
Are Training Resources Insufficient? Predict First Then Explain!
Are Training Resources Insufficient? Predict First Then Explain!
Myeongjun Jang
Thomas Lukasiewicz
LRM
26
7
0
29 Aug 2021
The SelectGen Challenge: Finding the Best Training Samples for Few-Shot
  Neural Text Generation
The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation
Ernie Chang
Xiaoyu Shen
Alex Marin
Vera Demberg
24
9
0
14 Aug 2021
Post-hoc Interpretability for Neural NLP: A Survey
Post-hoc Interpretability for Neural NLP: A Survey
Andreas Madsen
Siva Reddy
A. Chandar
XAI
27
225
0
10 Aug 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
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image
  Representations
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations
Witold Oleszkiewicz
Dominika Basaj
Igor Sieradzki
Michal Górszczak
Barbara Rychalska
K. Lewandowska
Tomasz Trzciñski
Bartosz Zieliñski
SSL
42
3
0
21 Jun 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in
  Rule Reasoning
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
Swarnadeep Saha
Prateek Yadav
Joey Tianyi Zhou
ReLM
LRM
24
26
0
02 Jun 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in
  Vision-Language Tasks
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
Maxime Kayser
Oana-Maria Camburu
Leonard Salewski
Cornelius Emde
Virginie Do
Zeynep Akata
Thomas Lukasiewicz
VLM
26
100
0
08 May 2021
Do Natural Language Explanations Represent Valid Logical Arguments?
  Verifying Entailment in Explainable NLI Gold Standards
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards
Marco Valentino
Ian Pratt-Hartman
André Freitas
XAI
LRM
23
12
0
05 May 2021
Extractive and Abstractive Explanations for Fact-Checking and Evaluation
  of News
Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News
Ashkan Kazemi
Zehua Li
Verónica Pérez-Rosas
Rada Mihalcea
32
14
0
27 Apr 2021
Supervising Model Attention with Human Explanations for Robust Natural
  Language Inference
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
Joe Stacey
Yonatan Belinkov
Marek Rei
30
45
0
16 Apr 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
Interpretable Deep Learning: Interpretation, Interpretability,
  Trustworthiness, and Beyond
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond
Xuhong Li
Haoyi Xiong
Xingjian Li
Xuanyu Wu
Xiao Zhang
Ji Liu
Jiang Bian
Dejing Dou
AAML
FaML
XAI
HAI
23
318
0
19 Mar 2021
SILT: Efficient transformer training for inter-lingual inference
SILT: Efficient transformer training for inter-lingual inference
Javier Huertas-Tato
Alejandro Martín
David Camacho
27
11
0
17 Mar 2021
A Study of Automatic Metrics for the Evaluation of Natural Language
  Explanations
A Study of Automatic Metrics for the Evaluation of Natural Language Explanations
Miruna Clinciu
Arash Eshghi
H. Hastie
56
54
0
15 Mar 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
19
142
0
24 Feb 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
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale
  Generation
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
Kushal Lakhotia
Bhargavi Paranjape
Asish Ghoshal
Wen-tau Yih
Yashar Mehdad
Srini Iyer
25
27
0
31 Dec 2020
LIREx: Augmenting Language Inference with Relevant Explanation
LIREx: Augmenting Language Inference with Relevant Explanation
Xinyan Zhao
V. Vydiswaran
LRM
31
38
0
16 Dec 2020
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
Self-Explaining Structures Improve NLP Models
Self-Explaining Structures Improve NLP Models
Zijun Sun
Chun Fan
Qinghong Han
Xiaofei Sun
Yuxian Meng
Fei Wu
Jiwei Li
MILM
XAI
LRM
FAtt
46
38
0
03 Dec 2020
Multi-document Summarization via Deep Learning Techniques: A Survey
Multi-document Summarization via Deep Learning Techniques: A Survey
Congbo Ma
W. Zhang
Mingyu Guo
Hu Wang
Quan Z. Sheng
13
126
0
10 Nov 2020
Biased TextRank: Unsupervised Graph-Based Content Extraction
Biased TextRank: Unsupervised Graph-Based Content Extraction
Ashkan Kazemi
Verónica Pérez-Rosas
Rada Mihalcea
25
30
0
02 Nov 2020
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
282
172
0
24 Oct 2020
Natural Language Rationales with Full-Stack Visual Reasoning: From
  Pixels to Semantic Frames to Commonsense Graphs
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
Ana Marasović
Chandra Bhagavatula
J. S. Park
Ronan Le Bras
Noah A. Smith
Yejin Choi
ReLM
LRM
18
62
0
15 Oct 2020
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial
  Explanations of Their Behavior in Natural Language?
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?
Peter Hase
Shiyue Zhang
Harry Xie
Joey Tianyi Zhou
29
99
0
08 Oct 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
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
287
625
0
04 Dec 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
304
7,005
0
20 Apr 2018
Previous
12