Towards a Psychology of Machines: Large Language Models Predict Human Memory

arXiv:2403.05152v1 Announce Type: new
Abstract: Large language models (LLMs) are demonstrating remarkable capabilities across various tasks despite lacking a foundation in human cognition. This raises the question: can these models, beyond simply mimicking human language patterns, offer insights into the mechanisms underlying human cognition? This study explores the ability of ChatGPT to predict human performance in a language-based memory task. Building upon theories of text comprehension, we hypothesize that recognizing ambiguous sentences (e.g., "Because Bill drinks wine is never kept …

abstract arxiv beyond capabilities cognition cs.ai cs.cl foundation human insights language language models large language large language models llms machines memory patterns psychology question raises study tasks type