bias quantification

Are LLMs (Really) Ideological? An IRT-based Analysis and Alignment Tool for Perceived Socio-Economic Bias in LLMs ACL 2025 Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models ACL 2025 Debiased Active Learning with Variational Gradient Rectifier AAAI 2025 Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge ICLR 2025 Robust Bias Detection in MLMs and its Application to Human Trait Ratings NAACL 2025 Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Call Summarization EMNLP 2025 fairret: a Framework for Differentiable Fairness Regularization Terms ICLR 2024 OpenBias: Open-set Bias Detection in Text-to-Image Generative Models CVPR 2024 Standardized Interpretable Fairness Measures for Continuous Risk Scores ICML 2024 Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models ACL 2023 Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP EACL 2023 Mind the Biases: Quantifying Cognitive Biases in Language Model Prompting ACL 2023 The (Undesired) Attenuation of Human Biases by Multilinguality EMNLP 2022 Understanding Gender Bias in Knowledge Base Embeddings ACL 2022 Assessing the Reliability of Word Embedding Gender Bias Measures EMNLP 2021 Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources EMNLP 2021 Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer ACL 2020 Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings EMNLP 2020 UNQOVERing Stereotyping Biases via Underspecified Questions EMNLP 2020 WEFE: The Word Embeddings Fairness Evaluation Framework IJCAI 2020