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Fairness

1139 directly classified papers

Papers per year

Papers

Language-Agnostic Bias Detection in Language Models with Bias Probing EMNLP 2023

Assessing Political Inclination of Bangla Language Models EMNLP 2023

Large Language Models as SocioTechnical Systems EMNLP 2023

Layered Bias: Interpreting Bias in Pretrained Large Language Models EMNLP 2023

Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model EMNLP 2023

Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures CVPR 2023

FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding CVPR 2023

Bias-Eliminating Augmentation Learning for Debiased Federated Learning CVPR 2023

Fast Model DeBias with Machine Unlearning NIPS 2023

Can a Prediction’s Rank Offer a More Accurate Quantification of Bias? A Case Study Measuring Sexism in Debiased Language Models AACL 2023

Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness NIPS 2023

Dragonfly_captain at SemEval-2023 Task 11: Unpacking Disagreement with Investigation of Annotator Demographics and Task Difficulty SEMEVAL 2023

UIRISC at SemEval-2023 Task 10: Explainable Detection of Online Sexism by Ensembling Fine-tuning Language Models SEMEVAL 2023

IREL at SemEval-2023 Task 11: User Conditioned Modelling for Toxicity Detection in Subjective Tasks SEMEVAL 2023

SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models EACL 2023

Measuring Normative and Descriptive Biases in Language Models Using Census Data EACL 2023

Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP EACL 2023

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models NIPS 2023

Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions NIPS 2023

Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations NIPS 2023

Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling AISTATS 2023

Fairlearn: Assessing and Improving Fairness of AI Systems JMLR 2023

On the Impact of Algorithmic Recourse on Social Segregation ICML 2023

Generalized Disparate Impact for Configurable Fairness Solutions in ML ICML 2023

FARE: Provably Fair Representation Learning with Practical Certificates ICML 2023