Fairness

Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System ACL 2025 Will the Prince Get True Love’s Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts NAACL 2025 Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds IJCAI 2025 “Women do not have heart attacks!” Gender Biases in Automatically Generated Clinical Cases in French NAACL 2025 WoNBias: A Dataset for Classifying Bias & Prejudice Against Women in Bengali Text ACL 2025 XDAC: XAI-Driven Detection and Attribution of LLM-Generated News Comments in Korean ACL 2025 Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks EMNLP 2025 1/2-Approximate MMS Allocation for Separable Piecewise Linear Concave Valuations AAAI 2024 AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark EMNLP 2024 A Bayesian Quantification of Aporophobia and the Aggravating Effect of Low–Wealth Contexts on Stigmatization NAACL 2024 ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods NeurIPS 2024 ABLE: Agency-BeLiefs Embedding to Address Stereotypical Bias through Awareness Instead of Obliviousness COLING 2024 AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters ACL 2024 A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark CVPR 2024 Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree EMNLP 2024 Achievable distributional robustness when the robust risk is only partially identified NeurIPS 2024 Achievable Fairness on Your Data With Utility Guarantees NeurIPS 2024 Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning AISTATS 2024 Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024 A Closer Look at AUROC and AUPRC under Class Imbalance NeurIPS 2024 A Closer Look at Multidimensional Online Political Incivility EMNLP 2024 A Comparative Study of Explicit and Implicit Gender Biases in Large Language Models via Self-evaluation COLING 2024 A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models NAACL 2024 A Contrastive Learning Approach to Mitigate Bias in Speech Models Interspeech 2024 Addressing Bias and Hallucination in Large Language Models COLING 2024