Fairness

Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery AAAI 2025 Label Bias in Symbolic Representation of Meaning ACL 2025 Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations WACV 2025 LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers ACL 2025 Language-Assisted Debiasing and Smoothing for Foundation Model-Based Semi-Supervised Learning CVPR 2025 Language Models Predict Empathy Gaps Between Social In-groups and Out-groups NAACL 2025 Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey NAACL 2025 Large Language Models as Reader for Bias Detection EMNLP 2025 Large Language Models Still Exhibit Bias in Long Text ACL 2025 Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility ICCV 2025 LDPose: Towards Inclusive Human Pose Estimation for Limb-Deficient Individuals in the Wild ICCV 2025 Learnable Logit Adjustment for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch ICCV 2025 Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning Applications AAAI 2025 Learning Causally Disentangled Representations for Fair Personality Detection IJCAI 2025 Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning IJCAI 2025 Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions EMNLP 2025 Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples CVPR 2025 Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation ACL 2025 Leveraging In-Context Learning for Political Bias Testing of LLMs ACL 2025 Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora ACL 2025 Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability NAACL 2025 LLM-based Adversarial Dataset Augmentation for Automatic Media Bias Detection NAACL 2025 LLM Bias Detection and Mitigation through the Lens of Desired Distributions EMNLP 2025 LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective IJCNLP 2025 LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification IJCNLP 2025