Fairness

Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks NAACL 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models NeurIPS 2024 Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces AAAI 2024 Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework ICLR 2024 Causal Feature Alignment: Learning To Ignore Spurious Background Features WACV 2024 Causal-Guided Active Learning for Debiasing Large Language Models ACL 2024 CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models COLING 2024 Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes COLING 2024 Chasing Fairness in Graphs: A GNN Architecture Perspective AAAI 2024 ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs EACL 2024 ChatGPT Doesn’t Trust Chargers Fans: Guardrail Sensitivity in Context EMNLP 2024 ChatGPT-Generated Code Assignment Detection Using Perplexity of Large Language Models (Student Abstract) AAAI 2024 ChatHF: Collecting Rich Human Feedback from Real-time Conversations EMNLP 2024 ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs EMNLP 2024 Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective AAAI 2024 Classes Are Not Equal: An Empirical Study on Image Recognition Fairness CVPR 2024 Classist Tools: Social Class Correlates with Performance in NLP ACL 2024 CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses NeurIPS 2024 Clever Hans Effect Found in Automatic Detection of Alzheimer's Disease through Speech Interspeech 2024 CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? ICLR 2024 Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks ACL 2024 ClusterFix: A Cluster-Based Debiasing Approach Without Protected-Group Supervision WACV 2024 Conformal Classification with Equalized Coverage for Adaptively Selected Groups NeurIPS 2024 Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications NAACL 2024 Connecting the Dots in News Analysis: Bridging the Cross-Disciplinary Disparities in Media Bias and Framing NAACL 2024