2026
EACL
EACL 2026
Cognitive Effects and Biases in Large Language Models
Abstract
AbstractThis tutorial bridges psychology and NLP to clarify cognitive effects and biases in large language models, compares methodological assumptions across disciplines, and discusses practical evaluation challenges and open research directions.
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Interdisciplinary Bridge
— Artificial Intelligence and Natural Language Processing
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio