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DTSTART:20201101T020000
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DTSTAMP:20260412T052217Z
DTSTART;TZID=America/New_York:20240405T090000
DTEND;TZID=America/New_York:20240405T103000
SUMMARY:Dr. Leila Wehbe, Carnegie Mellon University
DESCRIPTION:“Capturing Language Representations in the Human Brain with 
	Language Models”\n\nLeila Wehbe\, Ph.D.\n\nAssistant Professor\, Carnegi
	e Mellon University\n\nDepartment of Psychology\n\nIt has become increas
	ingly common to use representations extracted from modern language model
	s to study language comprehension in the human brain. This approach ofte
	n achieves accurate prediction of brain activity\, often accounting for 
	almost all the variance in the recordings that is not attributable to no
	ise. However\, better prediction performance doesn't always lead to bett
	er scientific interpretability. This talk presents some approaches for t
	he difficult problem of making scientific inferences about how the brain
	 represents high-level meaning. While these inferences are based on the 
	powerful ability of today's language models to predict brain recordings\
	, this talk also explores the limitations of these models and their dive
	rgence from brain activity recordings\, suggesting some language phenome
	na that they process differently than humans.\n\nFor more details: https
	://events.la.psu.edu/event/dr-leila-wehbe-carnegie-mellon-university/
X-ALT-DESC;FMTTYPE=text/html:<html><head></head><body><p style="text-ali
	gn: center"><strong>“Capturing Language Representations in the Human Bra
	in with Language Models”</strong></p><p style="text-align: center"><stro
	ng>Leila Wehbe, Ph.D.</strong><br />Assistant Professor, Carnegie Mellon
	 University<br />Department of Psychology</p><p>It has become increasing
	ly common to use representations extracted from modern language models t
	o study language comprehension in the human brain. This approach often a
	chieves accurate prediction of brain activity, often accounting for almo
	st all the variance in the recordings that is not attributable to noise.
	 However, better prediction performance doesn't always lead to better sc
	ientific interpretability. This talk presents some approaches for the di
	fficult problem of making scientific inferences about how the brain repr
	esents high-level meaning. While these inferences are based on the power
	ful ability of today's language models to predict brain recordings, this
	 talk also explores the limitations of these models and their divergence
	 from brain activity recordings, suggesting some language phenomena that
	 they process differently than humans.</p><p>For more details: <a href='
	https://events.la.psu.edu/event/dr-leila-wehbe-carnegie-mellon-universit
	y/'>https://events.la.psu.edu/event/dr-leila-wehbe-carnegie-mellon-unive
	rsity/</a></p></body></html>
LOCATION:102 Foster Auditorium, Paterno Library
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