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← Learning Types
Deep Learning
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Learning Types
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Fairness
24 papers
Papers per year
2020: 2
2
2021: 4
4
2022: 4
4
2023: 1
1
2024: 3
3
2025: 10
10
Papers
Auditing and Enforcing Conditional Fairness via Optimal Transport
AAAI 2025
The Impossibility of Fair LLMs
ACL 2025
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models
ACL 2025
Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs
ACL 2025
Name of Thrones: How Do LLMs Rank Student Names in Status Hierarchies Based on Race and Gender?
ACL 2025
GBEM-UA: Gender Bias Evaluation and Mitigation for Ukrainian Large Language Models
ACL 2025
Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples
CVPR 2025
EuroGEST: Investigating gender stereotypes in multilingual language models
EMNLP 2025
Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Call Summarization
EMNLP 2025
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation
ICCV 2025
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
NIPS 2024
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation
ACL 2024
Improving Fairness Using Vision-Language Driven Image Augmentation
WACV 2024
BLIND: Bias Removal With No Demographics
ACL 2023
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
NIPS 2022
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation
AAAI 2022
Towards Debiasing DNN Models from Spurious Feature Influence
AAAI 2022
“I’m sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset
EMNLP 2022
Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing
ACL 2021
Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia
ACL 2021
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources
EMNLP 2021
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
EMNLP 2021
Fair regression with Wasserstein barycenters
NIPS 2020
“You are grounded!”: Latent Name Artifacts in Pre-trained Language Models
EMNLP 2020
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