language model bia

Data Caricatures: On the Representation of African American Language in Pretraining Corpora ACL 2025 Debiasing Multilingual LLMs in Cross-lingual Latent Space EMNLP 2025 LLMs are Biased Evaluators But Not Biased for Fact-Centric Retrieval Augmented Generation ACL 2025 Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance IJCNLP 2025 Richer Output for Richer Countries: Uncovering Geographical Disparities in Generated Stories and Travel Recommendations NAACL 2025 Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution ACL 2024 CAVA: A Tool for Cultural Alignment Visualization & Analysis EMNLP 2024 Correcting Language Model Bias for Text Classification in True Zero-Shot Learning COLING 2024 Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias NeurIPS 2024 Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination EMNLP 2024 Moral Foundations of Large Language Models EMNLP 2024 Pre-Trained Language Models Represent Some Geographic Populations Better than Others COLING 2024 Whose Emotions and Moral Sentiments do Language Models Reflect? ACL 2024 Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models ACL 2023 How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns NAACL 2022 Learning From Arabic Corpora But Not Always From Arabic Speakers: A Case Study of the Arabic Wikipedia Editions EMNLP 2022 Should We Ban English NLP for a Year? EMNLP 2022 VALUE: Understanding Dialect Disparity in NLU ACL 2022 Uncovering Implicit Gender Bias in Narratives through Commonsense Inference EMNLP 2021 UNQOVERing Stereotyping Biases via Underspecified Questions EMNLP 2020