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Status: Unchecked ×Keyword: linguistic generalization ×Clear all

1 claim from 1 paper

1. Computer Science › Natural Language Processing Techniques

   Bigger is not always better: The importance of human-scale language modeling for psycholinguistics

   Wilcox, Hu, Mueller et al. · Journal of Memory and Language · 2025

   The paper argues for human-scale language modelling in psycholinguistics and reports on the first BabyLM Challenge, a shared task for training language models on 100 million words or less.

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   1. UncheckedModels trained on 100 million words or fewer, a human-scale amount, learned robust linguistic generalizations, though not yet by cognitively plausible mechanisms.“For cognitive scientists, the challenge demonstrated that robust linguistic generalizations can be learned by models trained on a human-scale dataset, though this is not yet achieved through cognitively plausible mechanisms.”