3 papers
cs.CL2026
Baby Scale: Investigating Models Trained on Individual Children's Language Input
Steven Y. Feng, Alvin W. M. Tan, Michael C. Frank
Modern language models (LMs) must be trained on many orders of magnitude more words of training data than human children receive before they begin to produce useful behavior. Asses…
cs.CV2025
Assessing the alignment between infants' visual and linguistic experience using multimodal language models
Alvin Wei Ming Tan, Jane Yang, Tarun Sepuri +6
Figuring out which objects or concepts words refer to is a central language learning challenge for young children. Most models of this process posit that children learn early objec…
cs.CL2025
Context informs pragmatic interpretation in vision-language models
Alvin Wei Ming Tan, Ben Prystawski, Veronica Boyce +1
Iterated reference games - in which players repeatedly pick out novel referents using language - present a test case for agents' ability to perform context-sensitive pragmatic reas…