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Fairness

3,511 papers

Papers per year

251
692
'20
'25

Papers

Fundamental Limits and Tradeoffs in Invariant Representation Learning JMLR 2022
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning MLHC 2022
How fair is your graph? Exploring fairness concerns in neuroimaging studies MLHC 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods MLHC 2022
Analyzing Modality Robustness in Multimodal Sentiment Analysis NAACL 2022
Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification NAACL 2022
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models NAACL 2022
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate NAACL 2022
How Gender Debiasing Affects Internal Model Representations, and Why It Matters NAACL 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection NAACL 2022
Don’t sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks NAACL 2022
Gender Bias in Masked Language Models for Multiple Languages NAACL 2022
Using Natural Sentence Prompts for Understanding Biases in Language Models NAACL 2022
Robust Conversational Agents against Imperceptible Toxicity Triggers NAACL 2022
Features or Spurious Artifacts? Data-centric Baselines for Fair and Robust Hate Speech Detection NAACL 2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis NAACL 2022
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding NAACL 2022
Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution NAACL 2022
Benchmarking Intersectional Biases in NLP NAACL 2022
Towards Debiasing Translation Artifacts NAACL 2022
Optimising Equal Opportunity Fairness in Model Training NAACL 2022
Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language NAACL 2022
Measure and Improve Robustness in NLP Models: A Survey NAACL 2022
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection NAACL 2022
What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review NAACL 2022