March 21, 2023 article Open access The debate over understanding in AI’s large language models Proceedings of the National Academy of Sciences DOI: 10.1073/pnas.2215907120 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 7 stored of 342 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Toward a phenomenology of mystification: The ambivalence of magic among AI technologists 2026 Anthropological Theory article Arts and Humanities Cybernetics and Technology in Society Open access 0 citations Why mental metaphors do not help us understand chatbot mistakes 2026 Synthese article Psychology Language, Metaphor, and Cognition Open access 0 citations Medical large language models are susceptible to targeted misinformation attacks 2024 npj Digital Medicine article Computer Science Adversarial Robustness in Machine Learning Open access 60 citations The Problem-Ladenness of Theory 2024 Computational Brain & Behavior article Arts and Humanities Philosophy and History of Science Open access 4 citations AI Psychometrics: Assessing the Psychological Profiles of Large Language Models Through Psychometric Inventories 2024 Perspectives on Psychological Science article Social Sciences Ethics and Social Impacts of AI Open access 94 citations The problem-ladenness of theory 2023 preprint Arts and Humanities Philosophy and History of Science Open access 3 citations Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) conference-paper Arts and Humanities Cybernetics and Technology in Society Open access 14 citations 7 results References 0