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cs.CL2026
On the robustness of modeling grounded word learning through a child's egocentric input
Wai Keen Vong, Brenden M. Lake
What insights can machine learning bring to understanding human language acquisition? Large language and multimodal models have achieved remarkable capabilities, but their reliance…
cs.CL2025
Do different prompting methods yield a common task representation in language models?
Guy Davidson, Todd M. Gureckis, Brenden M. Lake +1
Demonstrations and instructions are two primary approaches for prompting language models to perform in-context learning (ICL) tasks. Do identical tasks elicited in different ways r…
cs.CL2024
A systematic investigation of learnability from single child linguistic input
Yulu Qin, Wentao Wang, Brenden M. Lake
Language models (LMs) have demonstrated remarkable proficiency in generating linguistically coherent text, sparking discussions about their relevance to understanding human languag…