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Towards Debiasing Fact Verification Models

Towards Debiasing Fact Verification Models

14 August 2019
Tal Schuster
Darsh J. Shah
Yun Jie Serene Yeo
Daniel Filizzola
Enrico Santus
Regina Barzilay
ArXivPDFHTML

Papers citing "Towards Debiasing Fact Verification Models"

50 / 54 papers shown
Title
Task Calibration: Calibrating Large Language Models on Inference Tasks
Task Calibration: Calibrating Large Language Models on Inference Tasks
Yingjie Li
Yun Luo
Xiaotian Xie
Yue Zhang
LRM
21
0
0
24 Oct 2024
CHARP: Conversation History AwaReness Probing for Knowledge-grounded
  Dialogue Systems
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems
Abbas Ghaddar
David Alfonso-Hermelo
Philippe Langlais
Mehdi Rezagholizadeh
Boxing Chen
Prasanna Parthasarathi
39
0
0
24 May 2024
Learning Shortcuts: On the Misleading Promise of NLU in Language Models
Learning Shortcuts: On the Misleading Promise of NLU in Language Models
Geetanjali Bihani
Julia Taylor Rayz
33
3
0
17 Jan 2024
Language Models Hallucinate, but May Excel at Fact Verification
Language Models Hallucinate, but May Excel at Fact Verification
Jian Guan
Jesse Dodge
David Wadden
Minlie Huang
Hao Peng
LRM
HILM
34
28
0
23 Oct 2023
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models'
  Over-Reliance on Superficial Clue
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue
Yanrui Du
Sendong Zhao
Yuhan Chen
Rai Bai
Jing Liu
Huaqin Wu
Haifeng Wang
Bing Qin
45
2
0
08 Sep 2023
Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence
Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence
Gengyu Wang
Kate Harwood
Lawrence Chillrud
Amith Ananthram
Melanie Subbiah
Kathleen McKeown
HILM
16
22
0
29 May 2023
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim
  Verification on Scientific Tables
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables
Xinyuan Lu
Liangming Pan
Qian Liu
Preslav Nakov
Min-Yen Kan
LMTD
40
24
0
22 May 2023
Out-of-distribution Evidence-aware Fake News Detection via Dual
  Adversarial Debiasing
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing
Qiang Liu
Jun Wu
Shu Wu
Liang Wang
OODD
CML
25
11
0
25 Apr 2023
Guide the Learner: Controlling Product of Experts Debiasing Method Based
  on Token Attribution Similarities
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities
Ali Modarressi
Hossein Amirkhani
Mohammad Taher Pilehvar
29
2
0
06 Feb 2023
Debiasing Stance Detection Models with Counterfactual Reasoning and
  Adversarial Bias Learning
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning
Jianhua Yuan
Yanyan Zhao
Bing Qin
47
4
0
20 Dec 2022
Feature-Level Debiased Natural Language Understanding
Feature-Level Debiased Natural Language Understanding
Yougang Lyu
Piji Li
Yechang Yang
Maarten de Rijke
Pengjie Ren
Yukun Zhao
Dawei Yin
Z. Ren
32
10
0
11 Dec 2022
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in
  Natural Language Inference
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference
S. Rajaee
Yadollah Yaghoobzadeh
Mohammad Taher Pilehvar
36
5
0
07 Nov 2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging
  of NLP Models
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
Dong-Ho Lee
Akshen Kadakia
Brihi Joshi
Aaron Chan
Ziyi Liu
...
Takashi Shibuya
Ryosuke Mitani
Toshiyuki Sekiya
Jay Pujara
Xiang Ren
LRM
40
9
0
30 Oct 2022
Outlier-Aware Training for Improving Group Accuracy Disparities
Outlier-Aware Training for Improving Group Accuracy Disparities
Li-Kuang Chen
Canasai Kruengkrai
Junichi Yamagishi
29
0
0
27 Oct 2022
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual
  Question Answering
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question Answering
Q. Si
Yuanxin Liu
Zheng Lin
Peng Fu
Weiping Wang
VLM
42
1
0
26 Oct 2022
Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for
  Misinformation
Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation
Max Glockner
Yufang Hou
Iryna Gurevych
OffRL
38
38
0
25 Oct 2022
Deconfounding Legal Judgment Prediction for European Court of Human
  Rights Cases Towards Better Alignment with Experts
Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts
Santosh T.Y.S.S
Shanshan Xu
O. Ichim
Matthias Grabmair
25
26
0
25 Oct 2022
Finding Dataset Shortcuts with Grammar Induction
Finding Dataset Shortcuts with Grammar Induction
Dan Friedman
Alexander Wettig
Danqi Chen
27
14
0
20 Oct 2022
Probing Spurious Correlations in Popular Event-Based Rumor Detection
  Benchmarks
Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks
Jiaying Wu
Bryan Hooi
26
5
0
19 Sep 2022
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine
  Reading Comprehension
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension
Xanh Ho
Johannes Mario Meissner
Saku Sugawara
Akiko Aizawa
OffRL
35
4
0
05 Sep 2022
Shortcut Learning of Large Language Models in Natural Language
  Understanding
Shortcut Learning of Large Language Models in Natural Language Understanding
Mengnan Du
Fengxiang He
Na Zou
Dacheng Tao
Xia Hu
KELM
OffRL
34
84
0
25 Aug 2022
Learning to Split for Automatic Bias Detection
Learning to Split for Automatic Bias Detection
Yujia Bao
Regina Barzilay
17
20
0
28 Apr 2022
Stretching Sentence-pair NLI Models to Reason over Long Documents and
  Clusters
Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters
Tal Schuster
Sihao Chen
S. Buthpitiya
Alex Fabrikant
Donald Metzler
26
41
0
15 Apr 2022
Fact Checking with Insufficient Evidence
Fact Checking with Insufficient Evidence
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
37
14
0
05 Apr 2022
Generating Data to Mitigate Spurious Correlations in Natural Language
  Inference Datasets
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets
Yuxiang Wu
Matt Gardner
Pontus Stenetorp
Pradeep Dasigi
37
67
0
24 Mar 2022
Handling Bias in Toxic Speech Detection: A Survey
Handling Bias in Toxic Speech Detection: A Survey
Tanmay Garg
Sarah Masud
Tharun Suresh
Tanmoy Chakraborty
17
91
0
26 Jan 2022
Unveiling Project-Specific Bias in Neural Code Models
Unveiling Project-Specific Bias in Neural Code Models
Zhiming Li
Yanzhou Li
Tianlin Li
Mengnan Du
Bozhi Wu
Yushi Cao
Yi Li
Yang Liu
31
5
0
19 Jan 2022
Reducing Target Group Bias in Hate Speech Detectors
Reducing Target Group Bias in Hate Speech Detectors
Darsh J. Shah
Sinong Wang
Han Fang
Hao Ma
Luke Zettlemoyer
FaML
25
2
0
07 Dec 2021
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context
  Images via Online Resources
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
Sahar Abdelnabi
Rakibul Hasan
Mario Fritz
26
74
0
30 Nov 2021
Dataset of Fake News Detection and Fact Verification: A Survey
Dataset of Fake News Detection and Fact Verification: A Survey
Taichi Murayama
GNN
26
38
0
05 Nov 2021
Explainable Fact-checking through Question Answering
Explainable Fact-checking through Question Answering
Jing Yang
D. Vega-Oliveros
Taís Seibt
Anderson de Rezende Rocha
HILM
27
14
0
11 Oct 2021
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
Md. Akmal Haidar
Nithin Anchuri
Mehdi Rezagholizadeh
Abbas Ghaddar
Philippe Langlais
Pascal Poupart
31
22
0
21 Sep 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Prasetya Ajie Utama
N. Moosavi
Victor Sanh
Iryna Gurevych
AAML
61
35
0
09 Sep 2021
Debiasing Methods in Natural Language Understanding Make Bias More
  Accessible
Debiasing Methods in Natural Language Understanding Make Bias More Accessible
Michael J. Mendelson
Yonatan Belinkov
42
23
0
09 Sep 2021
Diagnostics-Guided Explanation Generation
Diagnostics-Guided Explanation Generation
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
LRM
FAtt
38
6
0
08 Sep 2021
End-to-End Self-Debiasing Framework for Robust NLU Training
End-to-End Self-Debiasing Framework for Robust NLU Training
Abbas Ghaddar
Philippe Langlais
Mehdi Rezagholizadeh
Ahmad Rashid
UQCV
34
36
0
05 Sep 2021
A Survey on Automated Fact-Checking
A Survey on Automated Fact-Checking
Zhijiang Guo
M. Schlichtkrull
Andreas Vlachos
27
457
0
26 Aug 2021
ProoFVer: Natural Logic Theorem Proving for Fact Verification
ProoFVer: Natural Logic Theorem Proving for Fact Verification
Amrith Krishna
Sebastian Riedel
Andreas Vlachos
21
61
0
25 Aug 2021
Context-aware Adversarial Training for Name Regularity Bias in Named
  Entity Recognition
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition
Abbas Ghaddar
Philippe Langlais
Ahmad Rashid
Mehdi Rezagholizadeh
39
42
0
24 Jul 2021
FaVIQ: FAct Verification from Information-seeking Questions
FaVIQ: FAct Verification from Information-seeking Questions
Jungsoo Park
Sewon Min
Jaewoo Kang
Luke Zettlemoyer
Hannaneh Hajishirzi
HILM
40
37
0
05 Jul 2021
Learning Stable Classifiers by Transferring Unstable Features
Learning Stable Classifiers by Transferring Unstable Features
Yujia Bao
Shiyu Chang
Regina Barzilay
OOD
27
8
0
15 Jun 2021
FEVEROUS: Fact Extraction and VERification Over Unstructured and
  Structured information
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information
Rami Aly
Zhijiang Guo
M. Schlichtkrull
James Thorne
Andreas Vlachos
Christos Christodoulopoulos
O. Cocarascu
Arpit Mittal
HILM
27
174
0
10 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Yujia Bao
Shiyu Chang
Regina Barzilay
18
20
0
26 May 2021
Hidden Biases in Unreliable News Detection Datasets
Hidden Biases in Unreliable News Detection Datasets
Xiang Zhou
Heba Elfardy
Christos Christodoulopoulos
Thomas Butler
Joey Tianyi Zhou
22
15
0
20 Apr 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU
  Models
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models
Mengnan Du
Varun Manjunatha
R. Jain
Ruchi Deshpande
Franck Dernoncourt
Jiuxiang Gu
Tong Sun
Xia Hu
57
105
0
11 Mar 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis
DynaSent: A Dynamic Benchmark for Sentiment Analysis
Christopher Potts
Zhengxuan Wu
Atticus Geiger
Douwe Kiela
230
77
0
30 Dec 2020
Improving Robustness by Augmenting Training Sentences with
  Predicate-Argument Structures
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures
N. Moosavi
M. Boer
Prasetya Ajie Utama
Iryna Gurevych
24
13
0
23 Oct 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales
  Without Supervision
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
Max Glockner
Ivan Habernal
Iryna Gurevych
LRM
27
25
0
07 Oct 2020
Evaluation of Text Generation: A Survey
Evaluation of Text Generation: A Survey
Asli Celikyilmaz
Elizabeth Clark
Jianfeng Gao
ELM
LM&MA
19
376
0
26 Jun 2020
Fact or Fiction: Verifying Scientific Claims
Fact or Fiction: Verifying Scientific Claims
David Wadden
Shanchuan Lin
Kyle Lo
Lucy Lu Wang
Madeleine van Zuylen
Arman Cohan
Hannaneh Hajishirzi
HAI
19
429
0
30 Apr 2020
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