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VERSION:2.0
PRODID:https://evenements.uqam.ca
X-PUBLISHED-TTL:P1W
BEGIN:VEVENT
UID:34432@https://evenements.uqam.ca
DTSTART:20261001T103000Z
SEQUENCE:4
TRANSP:OPAQUE
URL:https://evenements.uqam.ca/evenements/seminaire-au-dic-data-efficiency-
 in-children-and-language-models-par-michael-c-frank/34432?date=2026-10-01_
 10-30-00
LOCATION:UQAM - Pavillon Président-Kennedy (PK) (201\, avenue du Présiden
 t-Kennedy\, Montréal )
SUMMARY:Séminaire au DIC: «Data efficiency in children and language model
 s» par Michael C. Frank
CLASS:PUBLIC
DESCRIPTION:Séminaire ayant lieu dans le cadre du Doctorat en informatique
  cognitive\, en collaboration avec le centre de recherche CRIA      
       \n\n\n \n\n\nTITRE : Data efficiency in children and languag
 e models\n\n\n \n\n\nMichael C. FRANK\n\n\nJeudi le 1er octobre 2026 à 1
 0h30\n\n\nLocal PK-5115 (Il est possible d'y assister en virtuel en vous 
 inscrivant ici)              \n\n\n \n\n\nRÉSUMÉ\n\n\nLar
 ge language models show intriguing emergent behaviors\, yet they receive a
 t least three to four — and sometimes as much as six — orders of magni
 tude more language data than human children. What accounts for this vast d
 ifference in sample efficiency? I will describe steps towards a paradigm i
 n which we can address this question. In particular\, I'll discuss the use
  of egocentric video (\"baby headcam\") data for model training\, and the 
 use of developmental data for model evaluation. This paradigm provides a m
 odel-based framework for exploring the nature of children's early developm
 ent.\n\n\n \n\n\nBIOGRAPHIE\n\n\nMichael C. FRANK is Benjamin Scott Crock
 er Professor of Human Biology in the Department of Psychology at Stanford 
 University and Director of the Symbolic Systems Program. He studies childr
 en's language learning and development\, with a focus on the use of large-
 scale datasets to understand the variability and consistency of learning a
 cross cultures. He is a founder of the ManyBabies Consortium\, and has led
  open-data projects including Wordbank and the ongoing LEVANTE project.\n\
 n\n \n\n\nRÉFÉRENCES\n\n\nFrank\, M. C. (2026). Children\, but not lang
 uage models\, show accelerating returns in word learning. https://arxiv.or
 g/abs/2608.17120\n\n\nFrank\, M. C.\, &amp\; Goodman\, N. D. (2025). Cogni
 tive modeling using artificial intelligence. Annual Review of Psychology. 
 doi:10.1146/annurev-psych-030625-040748.\n\n\nFrank\, M. C. (2023). Bridgi
 ng the data gap between children and large language models. Trends in Cogn
 itive Sciences. https://psyarxiv.com/qzbgx/\n\nMot-clés : Séminaire\, LL
 Ms\, Neurolab\, NeuroQAM\, LATECE UQAM INFORMATIQUE\, LATECE\, CRIA\, Dép
 artement de Neuroscience\, Sciences cognitives\, Philosophie\, Sciences co
 gnitive\, École de langues\, neurosciences cognitives\, Institut des scie
 nces cognitives\, Apprentissage du langage naturel\, sciences du langage\,
  apprentissage machine\, apprentissage profond\, langage automatique\, lan
 gage cognitif\, metacognition\, Cognition\, intelligence artificielle\, IA
  \; intelligence artificielle\, société\, IA\, intelligence artificielle
 \, chatGPT\, enseignement supérieur\, IA\, intelligence artificielle\, d
 épartement de linguistique\, maîtrise en psychologie\, Maîtrise en info
 rmatique\, département de psychologie\, Faculté des sciences humaines\, 
 Département d'informatique\, Faculté des sciences de l'UQAM\, Faculté d
 es sciences\, doctorat en informatique\, doctorat en informatique cognitiv
 e\n\nPrix : Gratuit\n\n
CATEGORIES:Séminaire,Conférence
DTSTAMP:20260914T003644Z
CREATED:20260910T150216Z
LAST-MODIFIED:20260911T125653Z
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