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Fairness

3337 directly classified papers

Papers per year

Papers

FairGT: A Fairness-aware Graph Transformer IJCAI 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness NIPS 2024
ARTS: Assessing Readability & Text Simplicity EMNLP 2024
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models AISTATS 2024
BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability EMNLP 2024
Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP EMNLP 2024
FairPlay: A Multi-Sided Fair Dynamic Pricing Policy for Hotels AAAI 2024
What Happens to a Dataset Transformed by a Projection-based Concept Removal Method? COLING 2024
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching IJCAI 2024
Identifying Fine-grained Depression Signs in Social Media Posts COLING 2024
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs ACL 2024
A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models EMNLP 2024
Can AI Relate: Testing Large Language Model Response for Mental Health Support EMNLP 2024
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models EMNLP 2024
Re-examining Sexism and Misogyny Classification with Annotator Attitudes EMNLP 2024
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems AAAI 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions NIPS 2024
Taming Normalizing Flows WACV 2024
1/2-Approximate MMS Allocation for Separable Piecewise Linear Concave Valuations AAAI 2024
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance AAAI 2024
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models AAAI 2024
Hybrid Sample Synthesis-Based Debiasing of Classifier in Limited Data Setting WACV 2024
Don’t Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection ACL 2024
Debiasing Large Language Models with Structured Knowledge ACL 2024