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On the Limitations of Dataset Balancing: The Lost Battle Against
  Spurious Correlations

On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations

27 April 2022
Roy Schwartz
Gabriel Stanovsky
ArXiv (abs)PDFHTML

Papers citing "On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations"

19 / 19 papers shown
The Impact of Coreset Selection on Spurious Correlations and Group Robustness
The Impact of Coreset Selection on Spurious Correlations and Group Robustness
Amaya Dharmasiri
William Yang
Polina Kirichenko
Lydia Liu
Olga Russakovsky
158
1
0
15 Jul 2025
Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect
Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect
Tom Kouwenhoven
Kiana Shahrasbi
Tessa Verhoef
VLM
197
0
0
14 Jul 2025
HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models
HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models
Weixuan Wang
Minghao Wu
Barry Haddow
Alexandra Birch
556
1
0
18 May 2025
Beyond Benchmarks: On The False Promise of AI Regulation
Beyond Benchmarks: On The False Promise of AI Regulation
Gabriel Stanovsky
Renana Keydar
Gadi Perl
Eliya Habba
ELM
371
3
0
26 Jan 2025
On the Shortcut Learning in Multilingual Neural Machine Translation
On the Shortcut Learning in Multilingual Neural Machine Translation
Wenxuan Wang
Wenxiang Jiao
Shu Yang
Zhaopeng Tu
Michael R. Lyu
924
2
0
15 Nov 2024
Effective Guidance for Model Attention with Simple Yes-no Annotations
Effective Guidance for Model Attention with Simple Yes-no AnnotationsBigData Congress [Services Society] (BSS), 2024
Seongmin Lee
Ali Payani
Duen Horng Chau
FAtt
396
0
0
29 Oct 2024
Optimizing importance weighting in the presence of sub-population shifts
Optimizing importance weighting in the presence of sub-population shifts
Floris Holstege
Bram Wouters
Noud van Giersbergen
C. Diks
316
2
0
18 Oct 2024
Compare without Despair: Reliable Preference Evaluation with Generation
  Separability
Compare without Despair: Reliable Preference Evaluation with Generation Separability
Sayan Ghosh
Tejas Srinivasan
Swabha Swayamdipta
388
3
0
02 Jul 2024
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training
Stefan Arnold
Rene Gröbner
Annika Schreiner
247
0
0
30 Jun 2024
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via
  Data Selection
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection
Saachi Jain
Kimia Hamidieh
Kristian Georgiev
Andrew Ilyas
Marzyeh Ghassemi
Aleksander Madry
234
5
0
24 Jun 2024
Principles from Clinical Research for NLP Model Generalization
Principles from Clinical Research for NLP Model GeneralizationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Aparna Elangovan
Jiayuan He
Yuan Li
Karin Verspoor
CML
428
6
0
07 Nov 2023
Stubborn Lexical Bias in Data and Models
Stubborn Lexical Bias in Data and ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Sofia Serrano
Jesse Dodge
Noah A. Smith
274
2
0
03 Jun 2023
Fighting Bias with Bias: Promoting Model Robustness by Amplifying
  Dataset Biases
Fighting Bias with Bias: Promoting Model Robustness by Amplifying Dataset BiasesAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yuval Reif
Roy Schwartz
278
8
0
30 May 2023
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender
  Bias Evaluation in Coreference Resolution
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference ResolutionAnnual Meeting of the Cognitive Science Society (CogSci), 2023
Gili Lior
Gabriel Stanovsky
290
4
0
24 May 2023
On Degrees of Freedom in Defining and Testing Natural Language
  Understanding
On Degrees of Freedom in Defining and Testing Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Saku Sugawara
S. Tsugita
ELM
331
2
0
24 May 2023
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and
  Text-to-Image Models
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
Yuwei Yin
Jean Kaddour
Xiang Zhang
Yixin Nie
Zhenguang Liu
Lingpeng Kong
Qi Liu
DiffM
178
16
0
18 Apr 2023
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 InferenceConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
S. Rajaee
Yadollah Yaghoobzadeh
Mohammad Taher Pilehvar
196
5
0
07 Nov 2022
Are All Spurious Features in Natural Language Alike? An Analysis through
  a Causal Lens
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal LensConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Nitish Joshi
X. Pan
Hengxing He
CML
239
36
0
25 Oct 2022
Informativeness and Invariance: Two Perspectives on Spurious
  Correlations in Natural Language
Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural LanguageNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Jacob Eisenstein
CML
274
28
0
09 Apr 2022
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