conftrace_

fairness metric

48 papers

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Co-occurring keywords

group fairness (158) algorithmic fairness (284) gender bia (435) demographic parity (75) bias detection (419) bias mitigation (500) disparate impact (18) large language model (13587) vision-language model (2348) recommender system (534)

Papers

A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination AAAI 2026
FairTP: A Prolonged Fairness Framework for Traffic Prediction AAAI 2025
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation ICCV 2025
CUGF: A Reliable and Fair Recommendation Framework AAAI 2025
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation EMNLP 2025
Multi-Group Proportional Representations for Text-to-Image Models CVPR 2025
Coverage-based Fairness in Multi-document Summarization NAACL 2025
Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions EMNLP 2025
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems AAAI 2024
Why Don’t Prompt-Based Fairness Metrics Correlate? ACL 2024
Fairness in Social Influence Maximization via Optimal Transport NIPS 2024
Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning AISTATS 2024
ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment AAAI 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024
FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication CVPR 2024
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning NIPS 2024
Measuring and Addressing Indexical Bias in Information Retrieval ACL 2024
Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results AISTATS 2024
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification AAAI 2024
Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP EMNLP 2024
Are fairness metric scores enough to assess discrimination biases in machine learning? ACL 2023
Generalized Disparate Impact for Configurable Fairness Solutions in ML ICML 2023
Accurate Fairness: Improving Individual Fairness without Trading Accuracy AAAI 2023
Model-Agnostic Bias Measurement in Link Prediction EACL 2023
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results AAAI 2023