Brandon Huang and Chancharik Mitra and Assaf Arbelle and Leonid Karlinsky and Trevor Darrell and Roei Herzig

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2025-71

May 15, 2025

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2025/EECS-2025-71.pdf

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BibTeX citation:

@mastersthesis{Huang:EECS-2025-71,
    Author= {Huang, Brandon and Mitra, Chancharik and Arbelle,  Assaf and Karlinsky,  Leonid and Darrell, Trevor and Herzig, Roei},
    Title= {Multimodal Task Vectors Enable Many-Shot Multimodal In-Context  Learning},
    School= {EECS Department, University of California, Berkeley},
    Year= {2025},
    Month= {May},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2025/EECS-2025-71.html},
    Number= {UCB/EECS-2025-71},
}

EndNote citation:

%0 Thesis
%A Huang, Brandon 
%A Mitra, Chancharik 
%A Arbelle,  Assaf 
%A Karlinsky,  Leonid 
%A Darrell, Trevor 
%A Herzig, Roei 
%T Multimodal Task Vectors Enable Many-Shot Multimodal In-Context  Learning
%I EECS Department, University of California, Berkeley
%D 2025
%8 May 15
%@ UCB/EECS-2025-71
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2025/EECS-2025-71.html
%F Huang:EECS-2025-71