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Learning the Difference that Makes a Difference with
  Counterfactually-Augmented Data

Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

26 September 2019
Divyansh Kaushik
Eduard H. Hovy
Zachary Chase Lipton
    CML
ArXivPDFHTML

Papers citing "Learning the Difference that Makes a Difference with Counterfactually-Augmented Data"

50 / 151 papers shown
Title
Pushing the boundary on Natural Language Inference
Pushing the boundary on Natural Language Inference
Pablo Miralles-González
Javier Huertas-Tato
Alejandro Martín
David Camacho
LRM
44
0
0
25 Apr 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
27
1
0
22 Apr 2025
Wrong Answers Can Also Be Useful: PlausibleQA -- A Large-Scale QA Dataset with Answer Plausibility Scores
Wrong Answers Can Also Be Useful: PlausibleQA -- A Large-Scale QA Dataset with Answer Plausibility Scores
Jamshid Mozafari
Abdelrahman Abdallah
Bhawna Piryani
Adam Jatowt
47
0
0
22 Feb 2025
Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models
Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models
Jongho Kim
Seung-won Hwang
LRM
AI4CE
58
0
0
17 Feb 2025
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
Qianli Wang
Nils Feldhus
Simon Ostermann
Luis Felipe Villa-Arenas
Sebastian Möller
Vera Schmitt
AAML
34
0
0
01 Jan 2025
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
40
10
0
27 Jul 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
Hao-ming Lin
Wenhao Ding
Jian Chen
Laixi Shi
Jiacheng Zhu
Bo-wen Li
Ding Zhao
OffRL
CML
52
0
0
15 Jul 2024
Consistent Document-Level Relation Extraction via Counterfactuals
Consistent Document-Level Relation Extraction via Counterfactuals
Ali Modarressi
Abdullatif Köksal
Hinrich Schutze
51
1
0
09 Jul 2024
ACCORD: Closing the Commonsense Measurability Gap
ACCORD: Closing the Commonsense Measurability Gap
François Roewer-Després
Jinyue Feng
Zining Zhu
Frank Rudzicz
LRM
48
0
0
04 Jun 2024
A Multimodal Automated Interpretability Agent
A Multimodal Automated Interpretability Agent
Tamar Rott Shaham
Sarah Schwettmann
Franklin Wang
Achyuta Rajaram
Evan Hernandez
Jacob Andreas
Antonio Torralba
34
17
0
22 Apr 2024
A Rationale-centric Counterfactual Data Augmentation Method for
  Cross-Document Event Coreference Resolution
A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution
Bowen Ding
Qingkai Min
Shengkun Ma
Yingjie Li
Linyi Yang
Yue Zhang
46
4
0
02 Apr 2024
ALMANACS: A Simulatability Benchmark for Language Model Explainability
ALMANACS: A Simulatability Benchmark for Language Model Explainability
Edmund Mills
Shiye Su
Stuart J. Russell
Scott Emmons
51
7
0
20 Dec 2023
Examining LLMs' Uncertainty Expression Towards Questions Outside
  Parametric Knowledge
Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge
Genglin Liu
Xingyao Wang
Lifan Yuan
Yangyi Chen
Hao Peng
29
16
0
16 Nov 2023
Measuring and Improving Attentiveness to Partial Inputs with
  Counterfactuals
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
Yanai Elazar
Bhargavi Paranjape
Hao Peng
Sarah Wiegreffe
Khyathi Raghavi
Vivek Srikumar
Sameer Singh
Noah A. Smith
AAML
OOD
31
0
0
16 Nov 2023
How Trustworthy are Open-Source LLMs? An Assessment under Malicious
  Demonstrations Shows their Vulnerabilities
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities
Lingbo Mo
Boshi Wang
Muhao Chen
Huan Sun
29
27
0
15 Nov 2023
Implications of Annotation Artifacts in Edge Probing Test Datasets
Implications of Annotation Artifacts in Edge Probing Test Datasets
Sagnik Ray Choudhury
Jushaan Kalra
16
0
0
20 Oct 2023
Mind the instructions: a holistic evaluation of consistency and
  interactions in prompt-based learning
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning
Lucas Weber
Elia Bruni
Dieuwke Hupkes
32
24
0
20 Oct 2023
Data Augmentations for Improved (Large) Language Model Generalization
Data Augmentations for Improved (Large) Language Model Generalization
Amir Feder
Yoav Wald
Claudia Shi
S. Saria
David M. Blei
OOD
CML
32
7
0
19 Oct 2023
RobustGEC: Robust Grammatical Error Correction Against Subtle Context
  Perturbation
RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation
Yue Zhang
Leyang Cui
Enbo Zhao
Wei Bi
Shuming Shi
38
6
0
11 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
Position: Key Claims in LLM Research Have a Long Tail of Footnotes
Position: Key Claims in LLM Research Have a Long Tail of Footnotes
Anna Rogers
A. Luccioni
53
19
0
14 Aug 2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using
  Pretrained Transformers
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers
Jaeyoung Kim
Kyuheon Jung
Dongbin Na
Sion Jang
Eunbin Park
Sungchul Choi
OODD
35
6
0
18 Jul 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious
  Correlation
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
27
18
0
15 Jul 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis,
  and LLMs Evaluations
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
Lifan Yuan
Yangyi Chen
Ganqu Cui
Hongcheng Gao
Fangyuan Zou
Xingyi Cheng
Heng Ji
Zhiyuan Liu
Maosong Sun
39
73
0
07 Jun 2023
Measuring the Robustness of NLP Models to Domain Shifts
Measuring the Robustness of NLP Models to Domain Shifts
Nitay Calderon
Naveh Porat
Eyal Ben-David
Alexander Chapanin
Zorik Gekhman
Nadav Oved
Vitaly Shalumov
Roi Reichart
21
7
0
31 May 2023
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
23
41
0
26 May 2023
Exploring Contrast Consistency of Open-Domain Question Answering Systems
  on Minimally Edited Questions
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions
Zhihan Zhang
W. Yu
Zheng Ning
Mingxuan Ju
Meng Jiang
29
4
0
23 May 2023
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Yangqiu Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
37
2
0
23 May 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization
Ting Wu
Rui Zheng
Tao Gui
Qi Zhang
Xuanjing Huang
46
2
0
20 May 2023
Can NLP Models Correctly Reason Over Contexts that Break the Common
  Assumptions?
Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?
Neeraj Varshney
Mihir Parmar
Nisarg Patel
Divij Handa
Sayantan Sarkar
Man Luo
Chitta Baral
LRM
34
4
0
20 May 2023
Learning to Generalize for Cross-domain QA
Learning to Generalize for Cross-domain QA
Yingjie Niu
Linyi Yang
Ruihai Dong
Yue Zhang
21
6
0
14 May 2023
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative
  Examples
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples
Deqing Fu
Ameya Godbole
Robin Jia
27
8
0
13 May 2023
NevIR: Negation in Neural Information Retrieval
NevIR: Negation in Neural Information Retrieval
Orion Weller
Dawn J Lawrie
Benjamin Van Durme
MU
61
18
0
12 May 2023
LINGO : Visually Debiasing Natural Language Instructions to Support Task
  Diversity
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity
Anjana Arunkumar
Shubham Sharma
Rakhi Agrawal
Sriramakrishnan Chandrasekaran
Chris Bryan
34
0
0
12 Apr 2023
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL
  Robustness
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness
Shuaichen Chang
Jun Wang
Mingwen Dong
Lin Pan
Henghui Zhu
...
William Yang Wang
Zhiguo Wang
Vittorio Castelli
Patrick K. L. Ng
Bing Xiang
OOD
44
34
0
21 Jan 2023
Deep Causal Learning for Robotic Intelligence
Deep Causal Learning for Robotic Intelligence
Yicong Li
CML
37
5
0
23 Dec 2022
DISCO: Distilling Counterfactuals with Large Language Models
DISCO: Distilling Counterfactuals with Large Language Models
Zeming Chen
Qiyue Gao
Antoine Bosselut
Ashish Sabharwal
Kyle Richardson
34
25
0
20 Dec 2022
Unnatural Instructions: Tuning Language Models with (Almost) No Human
  Labor
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
Or Honovich
Thomas Scialom
Omer Levy
Timo Schick
ALM
48
361
0
19 Dec 2022
Counterfactual Explanations for Misclassified Images: How Human and
  Machine Explanations Differ
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ
Eoin Delaney
A. Pakrashi
Derek Greene
Markt. Keane
35
15
0
16 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
AutoCAD: Automatically Generating Counterfactuals for Mitigating
  Shortcut Learning
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning
Jiaxin Wen
Yeshuang Zhu
Jinchao Zhang
Jie Zhou
Minlie Huang
CML
AAML
22
8
0
29 Nov 2022
Intelligent Computing: The Latest Advances, Challenges and Future
Intelligent Computing: The Latest Advances, Challenges and Future
Shiqiang Zhu
Ting Yu
Tao Xu
Hongyang Chen
Schahram Dustdar
...
Tariq S. Durrani
Huaimin Wang
Jiangxing Wu
Tongyi Zhang
Yunhe Pan
AI4CE
27
117
0
21 Nov 2022
GLUE-X: Evaluating Natural Language Understanding Models from an
  Out-of-distribution Generalization Perspective
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective
Linyi Yang
Shuibai Zhang
Libo Qin
Yafu Li
Yidong Wang
Hanmeng Liu
Jindong Wang
Xingxu Xie
Yue Zhang
ELM
44
79
0
15 Nov 2022
Capabilities for Better ML Engineering
Capabilities for Better ML Engineering
Chenyang Yang
Rachel A. Brower-Sinning
Grace A. Lewis
Christian Kastner
Tongshuang Wu
24
3
0
11 Nov 2022
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class
  Classification
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification
Heng Chang
Canran Xu
Guodong Long
Tao Shen
Chongyang Tao
Jing Jiang
40
1
0
11 Nov 2022
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about
  Negation
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation
Abhilasha Ravichander
Matt Gardner
Ana Marasović
33
34
0
01 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
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating
  Models to Reflect Conflicting Evidence
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence
Hung-Ting Chen
Michael J.Q. Zhang
Eunsol Choi
RALM
HILM
47
92
0
25 Oct 2022
Realistic Data Augmentation Framework for Enhancing Tabular Reasoning
Realistic Data Augmentation Framework for Enhancing Tabular Reasoning
D. K. Santhosh Kumar
Vivek Gupta
Soumya Sharma
Shuo Zhang
LMTD
21
3
0
23 Oct 2022
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer
  Data Augmentation
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation
Phillip Howard
Gadi Singer
Vasudev Lal
Yejin Choi
Swabha Swayamdipta
CML
58
25
0
22 Oct 2022
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