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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
Robust Counterfactual Explanations in Machine Learning: A Survey
IJCAI 2024
IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context
NAACL 2024
Disagreeable, Slovenly, Honest and Un-named Women? Investigating Gender Bias in English Educational Resources by Extending Existing Gender Bias Taxonomies
ACL 2024
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters
ACL 2024
ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models
ACL 2024
REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models
NAACL 2024
HateModerate: Testing Hate Speech Detectors against Content Moderation Policies
NAACL 2024
Connecting the Dots in News Analysis: Bridging the Cross-Disciplinary Disparities in Media Bias and Framing
NAACL 2024
Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models
NIPS 2024
The Trade-off between Performance, Efficiency, and Fairness in Adapter Modules for Text Classification
NAACL 2024
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning
IJCAI 2024
Clever Hans Effect Found in Automatic Detection of Alzheimer's Disease through Speech
INTERSPEECH 2024
Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP
NAACL 2024
Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization
NAACL 2024
A Bayesian Quantification of Aporophobia and the Aggravating Effect of Low–Wealth Contexts on Stigmatization
NAACL 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
NIPS 2024
ConStat: Performance-Based Contamination Detection in Large Language Models
NIPS 2024
Fairness in Serving Large Language Models
OSDI 2024
Auditing Local Explanations is Hard
NIPS 2024
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
NIPS 2024
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives
NAACL 2024
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty
NIPS 2024
Monoculture in Matching Markets
NIPS 2024
The Bias Amplification Paradox in Text-to-Image Generation
NAACL 2024
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks
NAACL 2024
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