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X-WR-CALNAME:Exploring Trustworthy Foundation Models: Benchmarking\, Finetu
 ning and Reasoning - Bo Han\, Associate Professor\, Hong Kong Baptist Univ
 ersity
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DTSTART:20241103T020000
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RDATE:20251102T020000
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CLASS:PUBLIC
CREATED:20250704T222712Z
DESCRIPTION:Abstract: In the current landscape of machine learning\, where 
 foundation models must navigate imperfect real-world conditions such as no
 isy data and unexpected inputs\, ensuring their trustworthiness through ri
 gorousbenchmarking\, safety-focused finetuning\, and robust reasoning is m
 ore critical than ever. In this talk\, I will focus on three recent resear
 ch advancements that collectively advance these dimensions\, offering a co
 mprehensive approach to building trustworthy foundation models. For benchm
 arking\, I will introduce CounterAnimal\, a dataset designed to systematic
 ally evaluate CLIP’s…
DTSTART;TZID=America/Vancouver:20250715T113000
DTEND;TZID=America/Vancouver:20250715T123000
LAST-MODIFIED:20250704T223309Z
LOCATION:UBC Vancouver Campus\, Fried Kaiser (KAIS) building\, Room 2020/20
 30\, 2332 Main Mall
SUMMARY:Exploring Trustworthy Foundation Models: Benchmarking\, Finetuning 
 and Reasoning - Bo Han\, Associate Professor\, Hong Kong Baptist Universit
 y
TRANSP:OPAQUE
URL:https://caida.ubc.ca/index.php/event/exploring-trustworthy-foundation-m
 odels-benchmarking-finetuning-and-reasoning-bo-han
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