Language models and psychological sciences

Mirroring Traffic psychology
DOI: 10.3389/fpsyg.2023.1279317 Publication Date: 2023-10-20T06:28:37Z
ABSTRACT
Large language models (LLMs) are demonstrating impressive performance on many reasoning and problem-solving tasks from cognitive psychology. When tested, their accuracy is often par with average neurotypical adults, challenging long-standing critiques of associative models. Here we analyse recent findings at the intersection LLMs science. discuss how modern resurrect associationist principles, abilities like long-distance associations enabling complex reasoning. While limitations remain in areas causal cognition planning, phenomena emergence suggest room for growth. Providing examples increasing dimensions network methods that further improve LLM abilities, mirroring facilitation effects human cognition. Analysis errors provides insight into biases. Overall, argue represent a promising development modelling, new explorations mechanisms underlying intelligence an point view. Carefully evaluating tools psychology will understand building blocks mind.
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