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Fairness

1139 directly classified papers

Papers per year

Papers

Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks AAAI 2024
Surgical Feature-Space Decomposition of LLMs: Why, When and How? ACL 2024
Using Discourse Connectives to Test Genre Bias in Masked Language Models EACL 2024
Learning Human-like Representations to Enable Learning Human Values NIPS 2024
Providing Fair Recourse over Plausible Groups AAAI 2024
Preserving Fairness Generalization in Deepfake Detection CVPR 2024
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation CVPR 2024
Did the Names I Used within My Essay Affect My Score? Diagnosing Name Biases in Automated Essay Scoring EACL 2024
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning EMNLP 2024
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation NIPS 2024
Masking Latent Gender Knowledge for Debiasing Image Captioning NAACL 2024
On the Interplay between Fairness and Explainability NAACL 2024
FairBelief - Assessing Harmful Beliefs in Language Models NAACL 2024
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models NAACL 2024
Lost in Transcription: Identifying and Quantifying the Accuracy Biases of Automatic Speech Recognition Systems Against Disfluent Speech NAACL 2024
“One-Size-Fits-All”? Examining Expectations around What Constitute “Fair” or “Good” NLG System Behaviors NAACL 2024
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction NAACL 2024
Can Abstract Meaning Representation Facilitate Fair Legal Judgement Predictions? NAACL 2024
FairGT: A Fairness-aware Graph Transformer IJCAI 2024
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models ACL 2024
Instant Messaging Platforms News Multi-Task Classification for Stance, Sentiment, and Discrimination Detection COLING 2024
Unmasking Biases: Exploring Gender Bias in English-Catalan Machine Translation through Tokenization Analysis and Novel Dataset COLING 2024
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training NIPS 2024
Robust Learning via Conditional Prevalence Adjustment WACV 2024
Discovering and Mitigating Biases in CLIP-Based Image Editing WACV 2024