Sensory context improves language prediction in humans and LLMs

Abstract excerpt

<p>Language is a fundamental human capacity. Large language models (LLMs) have presented the first viable model of language outside of humans, yet how these models learn and use language differs significantly from humans. Here, we compare LLMs and humans predicting language with varying levels of sensory information –– from disembodied written text to audiovisual videos of speakers –– to demonstrate that, in both...

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Identifiers and source

Literature Corpus work

6274a781-8413-55da-aeb7-934a6fc5bbca

DOI

10.31234/osf.io/nz5eg_v2