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Fairness

1139 directly classified papers

Papers per year

Papers

Fairness without Harm: An Influence-Guided Active Sampling Approach NIPS 2024

Annotation alignment: Comparing LLM and human annotations of conversational safety EMNLP 2024

Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study NIPS 2024

Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation NIPS 2024

A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective NIPS 2024

Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation EMNLP 2024

Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models NIPS 2024

When is Multicalibration Post-Processing Necessary? NIPS 2024

Mind the Graph When Balancing Data for Fairness or Robustness NIPS 2024

Moral Foundations of Large Language Models EMNLP 2024

LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models NIPS 2024

Beyond Aesthetics: Cultural Competence in Text-to-Image Models NIPS 2024

Manipulation-Robust Selection of Citizens’ Assemblies AAAI 2024

FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024

Proportional Aggregation of Preferences for Sequential Decision Making AAAI 2024

SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection SEMEVAL 2024

Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair CVPR 2024

Self-supervised Debiasing Using Low Rank Regularization CVPR 2024

Label-Efficient Group Robustness via Out-of-Distribution Concept Curation CVPR 2024

Discovering and Mitigating Visual Biases through Keyword Explanation CVPR 2024

SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples CVPR 2024

Lexical Complexity Prediction and Lexical Simplification for Catalan and Spanish: Resource Creation, Quality Assessment, and Ethical Considerations EMNLP 2024

Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations EACL 2024

Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes EMNLP 2024

On the Relationship between Truth and Political Bias in Language Models EMNLP 2024