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PRODID:https://evenements.uqam.ca
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BEGIN:VEVENT
UID:34490@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-michel-c-frank/34490?date=2026-10-01_1
 0-30-00
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 Michel 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 langu
 age models\n\n\n \n\n\nMichel. C. FRANK\n\n\nJeudi le 1er octobre 2026 à
  10h30\n\n\nLocal PK-5115 (Il est possible d'y assister en virtuel en vou
 s inscrivant ici)               \n\n\n \n\n\nRÉSUMÉ\n\n\
 nLarge language models show intriguing emergent behaviors\, yet they recei
 ve at least three to four — and sometimes as much as six — orders of m
 agnitude more language data than human children. What accounts for this va
 st difference in sample efficiency? I will describe steps towards a paradi
 gm in 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 model-based framework for exploring the nature of children's early deve
 lopment.\n\n\n \n\n\nBIOGRAPHIE\n\n\nMichael C. FRANK is Benjamin Scott C
 rocker Professor of Human Biology in the Department of Psychology at Stanf
 ord University and Director of the Symbolic Systems Program. He received h
 is PhD from MIT in Brain and Cognitive Sciences in 2010. 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. He
  has received awards including the Troland Award from the National Academy
  of Sciences and the FABBS Early Career Impact award. He served as Preside
 nt of the Cognitive Science Society\, has edited for journals including Co
 gnition and Child Development\, and is current co-Editor in Chief of the O
 pen Encyclopedia of Cognitive Science.\n\n\n \n\n\nRÉFÉRENCES \n\n\nFr
 ank\, M. C. (2026). Children\, but not language models\, show accelerating
  returns in word learning. https://arxiv.org/abs/2608.17120\n\n\nFrank\, M
 . C.\, &amp\; Goodman\, N. D. (2025). Cognitive modeling using artificial 
 intelligence. Annual Review of Psychology. doi:10.1146/annurev-psych-03062
 5-040748.\n\n\nFrank\, M. C. (2023). Bridging the data gap between childre
 n and large language models. Trends in Cognitive Sciences. https://psyarxi
 v.com/qzbgx/\n\nMot-clés : Séminaire\, LLMs\, Neurolab\, neurolinguistiq
 ue\, NeuroQAM\, LATECE UQAM INFORMATIQUE\, LATECE\, CRIA\, Département de
  Neuroscience\, Sciences cognitives\, Philosophie\, Sciences cognitive\, 
 École de langues\, neurosciences cognitives\, Institut des sciences cogni
 tives\, sciences du langage\, apprentissage machine\, apprentissage automa
 tique\, apprentissage profond\, langage automatique\, langage cognitif\, m
 etacognition\, Cognition humaine\, Cognition\, intelligence artificielle\,
  IA \; intelligence artificielle\, société\, IA\, intelligence artificie
 lle\, chatGPT\, enseignement supérieur\, IA\, intelligence artificielle\,
  IA\; intelligence artificielle\; société\, département de linguistique
 \, maîtrise en psychologie\, Maîtrise en informatique\, Faculté des sci
 ences humaines\, Faculté des sciences de l'UQAM\, Faculté des sciences\,
  département de psychologie\, Département d'informatique\, doctorat en i
 nformatique cognitive\, doctorat en informatique\n\nPrix : Gratuit\n\n
CATEGORIES:Séminaire,Conférence
DTSTAMP:20260921T000655Z
CREATED:20260917T122302Z
LAST-MODIFIED:20260918T111034Z
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