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Machine Learning
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Fairness
3337 directly classified papers
Papers per year
2011: 1
2013: 3
2014: 2
2016: 6
2017: 30
2018: 65
2019: 182
2020: 239
2021: 373
2022: 456
2023: 533
2024: 648
2025: 644
2026: 155
Papers
Do Large Language Models Understand Mansplaining? Well, Actually...
COLING 2024
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting
EACL 2024
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis
EACL 2024
Self-supervised Speech Representations Still Struggle with African American Vernacular English
INTERSPEECH 2024
Long-Term Fair Decision Making through Deep Generative Models
AAAI 2024
Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division
IJCAI 2024
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
CVPR 2024
What Sketch Explainability Really Means for Downstream Tasks?
CVPR 2024
“Thinking” Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models
EMNLP 2024
Systematic Biases in LLM Simulations of Debates
EMNLP 2024
Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract)
AAAI 2024
Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP
ACL 2024
Measuring and Addressing Indexical Bias in Information Retrieval
ACL 2024
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models
EMNLP 2024
Localized Adaptive Risk Control
NIPS 2024
Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media
AAAI 2024
Auditing Local Explanations is Hard
NIPS 2024
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation
EMNLP 2024
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
NIPS 2024
Interpretable algorithmic fairness in structured and unstructured data
JMLR 2024
Building Bridges: A Dataset for Evaluating Gender-Fair Machine Translation into German
ACL 2024
STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions
EMNLP 2024
Towards Equitable Natural Language Understanding Systems for Dialectal Cohorts: Debiasing Training Data
COLING 2024
Born Differently Makes a Difference: Counterfactual Study of Bias in Biography Generation from a Data-to-Text Perspective
ACL 2024
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks
AAAI 2024
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