Fairness

AL-QASIDA: Analyzing LLM Quality and Accuracy Systematically in Dialectal Arabic ACL 2025 A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems ACL 2025 A Multilingual, Culture-First Approach to Addressing Misgendering in LLM Applications EMNLP 2025 Analyzing and Improving the Skin Tone Consistency and Bias in Implicit 3D Relightable Face Generators WACV 2025 Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning Benchmarks EMNLP 2025 Analyzing the Evolution of Scientific Misconduct Based on the Language of Retracted Papers ACL 2025 Analyzing values about gendered language reform in LLMs’ revisions EMNLP 2025 An Auditing Test to Detect Behavioral Shift in Language Models ICLR 2025 An Effective Theory of Bias Amplification ICLR 2025 An Efficient Framework for Crediting Data Contributors of Diffusion Models ICLR 2025 An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4 ACL 2025 A Practical Method for Generating String Counterfactuals NAACL 2025 ArabJobs: A Multinational Corpus of Arabic Job Ads EMNLP 2025 A Rapid Test for Accuracy and Bias of Face Recognition Technology WACV 2025 Are Bias Evaluation Methods Biased ? ACL 2025 A Recipe For Building a Compliant Real Estate Chatbot COLING 2025 Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation NAACL 2025 Are LLMs Rational Investors? A Study on the Financial Bias in LLMs ACL 2025 Are LLMs (Really) Ideological? An IRT-based Analysis and Alignment Tool for Perceived Socio-Economic Bias in LLMs ACL 2025 Are Stereotypes Leading LLMs’ Zero-Shot Stance Detection ? EMNLP 2025 Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media ACL 2025 Are you sure? Measuring models bias in content moderation through uncertainty EMNLP 2025 ArGAN: Arabic Gender, Ability, and Nationality Dataset for Evaluating Biases in Large Language Models ACL 2025 ARGENT: Automatic Reference-free Evaluation for Open-Ended Text Generation without Source Inputs ACL 2025 Ask Me Like I’m Human: LLM-based Evaluation with For-Human Instructions Correlates Better with Human Evaluations than Human Judges ACL 2025