Computational experiments show verb learning benefits in child-directed language likely stem from spoken register properties rather than unique optimization for children.
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ESsEN is a parameter-efficient two-tower vision-language transformer that matches larger models on discriminative tasks after training end-to-end with limited data and resources.
citing papers explorer
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Is Child-Directed Language Optimized for Word Learning? A Computational Study of Verb Meaning Acquisition
Computational experiments show verb learning benefits in child-directed language likely stem from spoken register properties rather than unique optimization for children.
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ESsEN: Training Compact Discriminative Vision-Language Transformers in a Low-Resource Setting
ESsEN is a parameter-efficient two-tower vision-language transformer that matches larger models on discriminative tasks after training end-to-end with limited data and resources.