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Fairness

3337 directly classified papers

Papers per year

Papers

Re-contextualizing Fairness in NLP: The Case of India AACL 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables NIPS 2022
Towards Identifying Social Bias in Dialog Systems: Framework, Dataset, and Benchmark EMNLP 2022
Yes-Yes-Yes: Proactive Data Collection for ACL Rolling Review and Beyond EMNLP 2022
Gender Bias in Meta-Embeddings EMNLP 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations NIPS 2022
Uncalibrated Models Can Improve Human-AI Collaboration NIPS 2022
All Politics is Local: Redistricting via Local Fairness NIPS 2022
Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View ACL 2022
Measuring Fairness of Text Classifiers via Prediction Sensitivity ACL 2022
Fair and Argumentative Language Modeling for Computational Argumentation ACL 2022
Buy Tesla, Sell Ford: Assessing Implicit Stock Market Preference in Pre-trained Language Models ACL 2022
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations ACL 2022
Pruning has a disparate impact on model accuracy NIPS 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity ACL 2022
One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia ACL 2022
On Measures of Biases and Harms in NLP AACL 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings NIPS 2022
Classification without (Proper) Representation: Political Heterogeneity in Social Media and Its Implications for Classification and Behavioral Analysis ACL 2022
Conditional Supervised Contrastive Learning for Fair Text Classification EMNLP 2022
Debiasing Event Understanding for Visual Commonsense Tasks ACL 2022
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists ACL 2022
An Empirical Study on Pseudo-log-likelihood Bias Measures for Masked Language Models Using Paraphrased Sentences NAACL 2022
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining EMNLP 2022
An Information-Theoretic Approach and Dataset for Probing Gender Stereotypes in Multilingual Masked Language Models NAACL 2022