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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 PLMs and Annotators Share the Same Gender Bias? Definition, Dataset, and Framework of Contextualized Gender Bias
ACL 2024
Preserving Fairness Generalization in Deepfake Detection
CVPR 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections
NIPS 2024
Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It
CVPR 2024
Perceptions of Language Technology Failures from South Asian English Speakers
ACL 2024
Discovering and Mitigating Visual Biases through Keyword Explanation
CVPR 2024
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness
ACL 2024
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
CVPR 2024
Pro-Woman, Anti-Man? Identifying Gender Bias in Stance Detection
ACL 2024
An Explainable Approach to Understanding Gender Stereotype Text
ACL 2024
Benchmark Data Repositories for Better Benchmarking
NIPS 2024
What Sketch Explainability Really Means for Downstream Tasks?
CVPR 2024
Likelihood-based Mitigation of Evaluation Bias in Large Language Models
ACL 2024
Bias in News Summarization: Measures, Pitfalls and Corpora
ACL 2024
We Don’t Talk About That: Case Studies on Intersectional Analysis of Social Bias in Large Language Models
ACL 2024
Sociocultural Considerations in Monitoring Anti-LGBTQ+ Content on Social Media
ACL 2024
Fair-VPT: Fair Visual Prompt Tuning for Image Classification
CVPR 2024
DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
CVPR 2024
Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment
AAAI 2024
Fairness-Aware Meta-Learning via Nash Bargaining
NIPS 2024
Causal-Guided Active Learning for Debiasing Large Language Models
ACL 2024
Topic Bias in Emotion Classification
EACL 2024
Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
ACL 2024
Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?
ACL 2024
Context-aware Adversarial Attack on Named Entity Recognition
EACL 2024
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