bias detection

IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models EMNLP 2023 In-Context Impersonation Reveals Large Language Models' Strengths and Biases NeurIPS 2023 Inseq: An Interpretability Toolkit for Sequence Generation Models ACL 2023 Interpreting Unfairness in Graph Neural Networks via Training Node Attribution AAAI 2023 Intersectional Stereotypes in Large Language Models: Dataset and Analysis EMNLP 2023 Investigating anatomical bias in clinical machine learning algorithms EACL 2023 “Kelly is a Warm Person, Joseph is a Role Model”: Gender Biases in LLM-Generated Reference Letters EMNLP 2023 Language-Agnostic Bias Detection in Language Models with Bias Probing EMNLP 2023 Large Language Models are biased to overestimate profoundness EMNLP 2023 LLMs – the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases EMNLP 2023 Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models ACL 2023 Measuring Normative and Descriptive Biases in Language Models Using Census Data EACL 2023 Mitigating Societal Harms in Large Language Models EMNLP 2023 Moral Mimicry: Large Language Models Produce Moral Rationalizations Tailored to Political Identity ACL 2023 On Second Thought, Let’s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning ACL 2023 On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach ACL 2023 ‘Person’ == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion EMNLP 2023 Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition EMNLP 2023 Provable Detection of Propagating Sampling Bias in Prediction Models AAAI 2023 Race, Gender, and Age Biases in Biomedical Masked Language Models ACL 2023 ROBBIE: Robust Bias Evaluation of Large Generative Language Models EMNLP 2023 SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models ACL 2023 SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models EACL 2023 Statistically Profiling Biases in Natural Language Reasoning Datasets and Models EMNLP 2023 StereoMap: Quantifying the Awareness of Human-like Stereotypes in Large Language Models EMNLP 2023