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2107.00753
Cited By
An Investigation of the (In)effectiveness of Counterfactually Augmented Data
1 July 2021
Nitish Joshi
He He
OODD
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Papers citing
"An Investigation of the (In)effectiveness of Counterfactually Augmented Data"
36 / 36 papers shown
Title
Do regularization methods for shortcut mitigation work as intended?
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Ioanna Papanikolaou
Sonali Parbhoo
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1
0
21 Mar 2025
Good Data Is All Imitation Learning Needs
Amir Samadi
K. Koufos
Kurt Debattista
M. Dianati
OffRL
21
1
0
26 Sep 2024
Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning
Simret Araya Gebreegziabher
Kuangshi Ai
Zheng Zhang
Elena L. Glassman
T. Li
27
4
0
07 Aug 2024
A Survey on Natural Language Counterfactual Generation
Yongjie Wang
Xiaoqi Qiu
Yu Yue
Xu Guo
Zhiwei Zeng
Yuhong Feng
Zhiqi Shen
31
5
0
04 Jul 2024
A Survey on Multilingual Large Language Models: Corpora, Alignment, and Bias
Yuemei Xu
Ling Hu
Jiayi Zhao
Zihan Qiu
Yuqi Ye
Hanwen Gu
LRM
19
36
0
01 Apr 2024
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation
Ján Cegin
Branislav Pecher
Jakub Simko
Ivan Srba
M. Bieliková
Peter Brusilovsky
33
10
0
12 Jan 2024
Comparable Demonstrations are Important in In-Context Learning: A Novel Perspective on Demonstration Selection
Caoyun Fan
Jidong Tian
Yitian Li
Hao He
Yaohui Jin
24
4
0
12 Dec 2023
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
Indira Sen
Dennis Assenmacher
Mattia Samory
Isabelle Augenstein
Wil M.P. van der Aalst
Claudia Wagner
11
19
0
02 Nov 2023
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification
Yingjie Zhu
Jiasheng Si
Yibo Zhao
Haiyang Zhu
Deyu Zhou
Yulan He
36
6
0
23 Oct 2023
Data Augmentations for Improved (Large) Language Model Generalization
Amir Feder
Yoav Wald
Claudia Shi
S. Saria
David M. Blei
OOD
CML
16
7
0
19 Oct 2023
Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization
Caoyun Fan
Wenqing Chen
Jidong Tian
Yitian Li
Hao He
Yaohui Jin
CML
15
4
0
10 Oct 2023
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs
Tiep Le
Vasudev Lal
Phillip Howard
DiffM
26
21
0
23 Sep 2023
How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data?
Huazheng Wang
Daixuan Cheng
Haifeng Sun
Jingyu Wang
Q. Qi
Jianxin Liao
Jing Wang
Cong Liu
16
0
0
26 Jul 2023
Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes
Abhinav Kumar
Amit Deshpande
Ajay Sharma
CML
9
1
0
19 Jun 2023
Stubborn Lexical Bias in Data and Models
Sofia Serrano
Jesse Dodge
Noah A. Smith
27
2
0
03 Jun 2023
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation
Marcos Vinícius Treviso
Alexis Ross
Nuno M. Guerreiro
André F.T. Martins
19
16
0
26 May 2023
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness
Ján Cegin
Jakub Simko
Peter Brusilovsky
20
42
0
22 May 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization
Ting Wu
Rui Zheng
Tao Gui
Qi Zhang
Xuanjing Huang
22
2
0
20 May 2023
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations
Bingsheng Yao
Prithviraj Sen
Lucian Popa
James A. Hendler
Dakuo Wang
XAI
ELM
FAtt
18
10
0
04 May 2023
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues
Mohamed Akrout
Amal Feriani
F. Bellili
A. Mezghani
E. Hossain
OOD
AI4CE
29
26
0
13 Mar 2023
Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough
Caoyun Fan
Wenqing Chen
Jidong Tian
Yitian Li
Hao He
Yaohui Jin
CML
OODD
19
3
0
18 Feb 2023
DISCO: Distilling Counterfactuals with Large Language Models
Zeming Chen
Qiyue Gao
Antoine Bosselut
Ashish Sabharwal
Kyle Richardson
27
25
0
20 Dec 2022
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning
Jiaxin Wen
Yeshuang Zhu
Jinchao Zhang
Jie Zhou
Minlie Huang
CML
AAML
14
8
0
29 Nov 2022
Counterfactual Generation Under Confounding
Abbavaram Gowtham Reddy
Saloni Dash
Amit Sharma
V. Balasubramanian
CML
29
2
0
22 Oct 2022
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation
Phillip Howard
Gadi Singer
Vasudev Lal
Yejin Choi
Swabha Swayamdipta
CML
48
25
0
22 Oct 2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
Tanay Dixit
Bhargavi Paranjape
Hannaneh Hajishirzi
Luke Zettlemoyer
SyDa
135
23
0
10 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
103
92
0
06 Oct 2022
Causal Intervention-based Prompt Debiasing for Event Argument Extraction
Jiaju Lin
Jie Zhou
Qin Chen
22
3
0
04 Oct 2022
Bias Challenges in Counterfactual Data Augmentation
S Chandra Mouli
Yangze Zhou
Bruno Ribeiro
CML
OOD
OODD
27
4
0
12 Sep 2022
Text Transformations in Contrastive Self-Supervised Learning: A Review
Amrita Bhattacharjee
Mansooreh Karami
Huan Liu
SSL
11
23
0
22 Mar 2022
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
130
0
15 Dec 2021
Retrieval-guided Counterfactual Generation for QA
Bhargavi Paranjape
Matthew Lamm
Ian Tenney
18
31
0
14 Oct 2021
Let the CAT out of the bag: Contrastive Attributed explanations for Text
Saneem A. Chemmengath
A. Azad
Ronny Luss
Amit Dhurandhar
FAtt
26
10
0
16 Sep 2021
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
Amir Feder
Katherine A. Keith
Emaad A. Manzoor
Reid Pryzant
Dhanya Sridhar
...
Roi Reichart
Margaret E. Roberts
Brandon M Stewart
Victor Veitch
Diyi Yang
CML
16
234
0
02 Sep 2021
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition
Mor Geva
Tomer Wolfson
Jonathan Berant
ReLM
LRM
13
21
0
29 Jul 2021
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
294
6,943
0
20 Apr 2018
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