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Machine Learning
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Fairness
3,337 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
Fair Without Leveling Down: A New Intersectional Fairness Definition
EMNLP 2023
IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models
EMNLP 2023
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection
EMNLP 2023
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions
EMNLP 2023
From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification
EMNLP 2023
Towards Conceptualization of “Fair Explanation”: Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators
EMNLP 2023
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models
EMNLP 2023
Comparing Biases and the Impact of Multilingual Training across Multiple Languages
EMNLP 2023
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting
EMNLP 2023
Bridging the Digital Divide: Performance Variation across Socio-Economic Factors in Vision-Language Models
EMNLP 2023
Conceptor-Aided Debiasing of Large Language Models
EMNLP 2023
CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations
EMNLP 2023
Improving Bias Mitigation through Bias Experts in Natural Language Understanding
EMNLP 2023
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models
EMNLP 2023
Deciphering Stereotypes in Pre-Trained Language Models
EMNLP 2023
Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive
EMNLP 2023
StereoMap: Quantifying the Awareness of Human-like Stereotypes in Large Language Models
EMNLP 2023
Generative Adversarial Training with Perturbed Token Detection for Model Robustness
EMNLP 2023
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
EMNLP 2023
Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus
EMNLP 2023
GlobalBench: A Benchmark for Global Progress in Natural Language Processing
EMNLP 2023
Bias Neutralization in Non-Parallel Texts: A Cyclic Approach with Auxiliary Guidance
EMNLP 2023
A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection
EMNLP 2023
Fair Text Classification with Wasserstein Independence
EMNLP 2023
Global Voices, Local Biases: Socio-Cultural Prejudices across Languages
EMNLP 2023
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