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Fairness

24 directly classified papers

Papers per year

Papers

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
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation ICCV 2025
Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Call Summarization EMNLP 2025
EuroGEST: Investigating gender stereotypes in multilingual language models EMNLP 2025
Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples CVPR 2025
GBEM-UA: Gender Bias Evaluation and Mitigation for Ukrainian Large Language Models ACL 2025
Auditing and Enforcing Conditional Fairness via Optimal Transport AAAI 2025
The Impossibility of Fair LLMs ACL 2025
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior NIPS 2024
Improving Fairness Using Vision-Language Driven Image Augmentation WACV 2024
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation ACL 2024
BLIND: Bias Removal With No Demographics ACL 2023
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation AAAI 2022
“I’m sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset EMNLP 2022
Towards Debiasing DNN Models from Spurious Feature Influence AAAI 2022
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks NIPS 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