Acquiring Linguistic Knowledge from Multimodal Input

In contrast to children, language models (LMs) exhibit considerably inferior data efficiency when acquiring language. In this submission to the BabyLM Challenge (Warstadt et al., 2023), we test the hypothesis that this data efficiency gap is partly caused by a lack of multimodal input and grounding...

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Bibliographische Detailangaben

Hauptverfasser:	Amariucai, Theodor, Warstadt, Alex
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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