Bridging the data gap between children and large language models
preprint
OA: closed
CC-BY-4.0
Abstract
Large language models show intriguing emergent behaviors, yet they receive around 4-5 orders of magnitude more language data than human children. What accounts for this vast difference in sample efficiency? Candidate explanations include children’s pre-existing conceptual structures, their use of multimodal grounding, and the interactive, social nature of their input.
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- europepmc
- last seen: 2026-05-19T01:45:01.086888+00:00
- unpaywall
- last seen: 2026-05-22T02:00:06.705733+00:00
License: CC-BY-4.0