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An Investigation of the (In)effectiveness of Counterfactually Augmented Data

1 July 2021

Papers citing "An Investigation of the (In)effectiveness of Counterfactually Augmented Data"

36 / 36 papers shown

Title
Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models Anirudh Bharadwaj Chaitanya Malaviya Nitish Joshi Mark Yatskar 134 0 0 05 Jun 2025
Do regularization methods for shortcut mitigation work as intended? Haoyang Hong Ioanna Papanikolaou Sonali Parbhoo 77 1 0 21 Mar 2025
Good Data Is All Imitation Learning Needs Amir Samadi K. Koufos Kurt Debattista M. Dianati OffRL 68 2 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 Tao Li 47 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 88 9 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 102 44 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 Maria Bielikova Peter Brusilovsky 88 12 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 73 5 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 98 21 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 95 7 0 23 Oct 2023
Data Augmentations for Improved (Large) Language Model Generalization Amir Feder Yoav Wald Claudia Shi Suchi Saria David M. Blei OOD CML 98 9 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 71 4 0 10 Oct 2023
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs Tiep Le Vasudev Lal Phillip Howard DiffM 90 30 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 70 0 0 26 Jul 2023
Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes Abhinav Kumar Amit Deshpande Ajay Sharma CML 108 1 0 19 Jun 2023
Stubborn Lexical Bias in Data and Models Sofia Serrano Jesse Dodge Noah A. Smith 105 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 104 17 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 110 48 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 74 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 74 12 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 Ekram Hossain OOD AI4CE 101 28 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 56 3 0 18 Feb 2023
DISCO: Distilling Counterfactuals with Large Language Models Zeming Chen Qiyue Gao Antoine Bosselut Ashish Sabharwal Kyle Richardson 104 31 0 20 Dec 2022
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning Jiaxin Wen Yeshuang Zhu Jinchao Zhang Jie Zhou Minlie Huang CML AAML 123 9 0 29 Nov 2022
Counterfactual Generation Under Confounding Abbavaram Gowtham Reddy Saloni Dash Amit Sharma V. Balasubramanian CML 99 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 121 25 0 22 Oct 2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation Tanay Dixit Bhargavi Paranjape Hannaneh Hajishirzi Luke Zettlemoyer SyDa 216 26 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 299 100 0 06 Oct 2022
Causal Intervention-based Prompt Debiasing for Event Argument Extraction Jiaju Lin Jie Zhou Qin Chen 54 4 0 04 Oct 2022
Bias Challenges in Counterfactual Data Augmentation S Chandra Mouli Yangze Zhou Bruno Ribeiro CML OOD OODD 84 4 0 12 Sep 2022
Text Transformations in Contrastive Self-Supervised Learning: A Review Amrita Bhattacharjee Mansooreh Karami Huan Liu SSL 108 23 0 22 Mar 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 305 139 0 15 Dec 2021
Retrieval-guided Counterfactual Generation for QA Bhargavi Paranjape Matthew Lamm Ian Tenney 94 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 103 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 132 247 0 02 Sep 2021
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition Mor Geva Tomer Wolfson Jonathan Berant ReLM LRM 65 21 0 29 Jul 2021