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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
On Measuring Social Biases in Prompt-Based Multi-Task Learning
NAACL 2022
Rethinking the Authorship Verification Experimental Setups
EMNLP 2022
DocFin: Multimodal Financial Prediction and Bias Mitigation using Semi-structured Documents
EMNLP 2022
“I’m sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset
EMNLP 2022
Opportunities for Human-centered Evaluation of Machine Translation Systems
NAACL 2022
Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals
ACL 2022
Efficient resource allocation with fairness constraints in restless multi-armed bandits
UAI 2022
Breaking through Inequality of Information Acquisition among Social Classes: A Modest Effort on Measuring “Fun”
EMNLP 2022
Suum Cuique: Studying Bias in Taboo Detection with a Community Perspective
ACL 2022
I Will Have Order! Optimizing Orders for Fair Reviewer Assignment
IJCAI 2022
Counterfactual Fairness with Partially Known Causal Graph
NIPS 2022
A Reduction to Binary Approach for Debiasing Multiclass Datasets
NIPS 2022
Debiasing Pre-Trained Language Models via Efficient Fine-Tuning
ACL 2022
Hard ImageNet: Segmentations for Objects with Strong Spurious Cues
NIPS 2022
Robustness Disparities in Face Detection
NIPS 2022
The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
EMNLP 2022
Pipelines for Social Bias Testing of Large Language Models
ACL 2022
Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold
ACL 2022
Detecting Unintended Social Bias in Toxic Language Datasets
EMNLP 2022
Critical Perspectives: A Benchmark Revealing Pitfalls in PerspectiveAPI
EMNLP 2022
Ethics consideration sections in natural language processing papers
EMNLP 2022
How Hate Speech Varies by Target Identity: A Computational Analysis
EMNLP 2022
Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence
AAAI 2022
On the Tradeoff Between Robustness and Fairness
NIPS 2022
Analyzing Hate Speech Data along Racial, Gender and Intersectional Axes
NAACL 2022
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