Fairness

NusaAksara: A Multimodal and Multilingual Benchmark for Preserving Indonesian Indigenous Scripts ACL 2025 OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes ICLR 2025 Observing Micromotives and Macrobehavior of Large Language Models IJCNLP 2025 One Size Fits None: Rethinking Fairness in Medical AI ACL 2025 On Evaluating the Durability of Safeguards for Open-Weight LLMs ICLR 2025 Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models ACL 2025 On the Mutual Influence of Gender and Occupation in LLM Representations ACL 2025 On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena NAACL 2025 On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs ACL 2025 On the Role of Speech Data in Reducing Toxicity Detection Bias NAACL 2025 Open-DeBias: Toward Mitigating Open-Set Bias in Language Models EMNLP 2025 Open-Unfairness Adversarial Mitigation for Generalized Deepfake Detection ICCV 2025 Operationalising Rawlsian Ethics for Fairness in Norm Learning Agents AAAI 2025 Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transport IJCAI 2025 Option Symbol Matters: Investigating and Mitigating Multiple-Choice Option Symbol Bias of Large Language Models NAACL 2025 Overcoming Shortcut Problem in VLM for Robust Out-of-Distribution Detection CVPR 2025 PakBBQ: A Culturally Adapted Bias Benchmark for QA EMNLP 2025 PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment ICLR 2025 Parameterized Approximation Algorithm for Doubly Constrained Fair Clustering IJCAI 2025 Paraphrasing Attack Resilience of Various Machine-Generated Text Detection Methods NAACL 2025 PBCAT: Patch-Based Composite Adversarial Training against Physically Realizable Attacks on Object Detection ICCV 2025 Permitted Knowledge Boundary: Evaluating the Knowledge-Constrained Responsiveness of Large Language Models EMNLP 2025 PERSEVAL: A Framework for Perspectivist Classification Evaluation EMNLP 2025 Personalization up to a Point: Why Personalized Content Moderation Needs Boundaries, and How We Can Enforce Them EMNLP 2025 PerspectiveMod: A Perspectivist Resource for Deliberative Moderation EMNLP 2025