Fairness

Decoupling Bias, Aligning Distributions: Synergistic Fairness Optimization for Deepfake Detection CVPR 2026 Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models ACL 2025 Auditing and Enforcing Conditional Fairness via Optimal Transport AAAI 2025 Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation ICCV 2025 EuroGEST: Investigating gender stereotypes in multilingual language models EMNLP 2025 Fairness in Dysarthric Speech Synthesis: Understanding Intrinsic Bias in Dysarthric Speech Cloning using F5-TTS Interspeech 2025 Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs ACL 2025 GBEM-UA: Gender Bias Evaluation and Mitigation for Ukrainian Large Language Models ACL 2025 Investigating Gender Bias in Text-to-Audio Generation Models Interspeech 2025 Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples CVPR 2025 Name of Thrones: How Do LLMs Rank Student Names in Status Hierarchies Based on Race and Gender? ACL 2025 Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Call Summarization EMNLP 2025 The Impossibility of Fair LLMs ACL 2025 Improving Fairness Using Vision-Language Driven Image Augmentation WACV 2024 Towards Harmless Rawlsian Fairness Regardless of Demographic Prior NeurIPS 2024 ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation ACL 2024 BLIND: Bias Removal With No Demographics ACL 2023 Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks NeurIPS 2022 “I’m sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset EMNLP 2022 Low-Degree Multicalibration COLT 2022 Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation AAAI 2022 Towards Debiasing DNN Models from Spurious Feature Influence AAAI 2022 Approximation Algorithms for Socially Fair Clustering COLT 2021 Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources EMNLP 2021 Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia ACL 2021