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Leonid Karlinsky

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NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning

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Mar 30, 2024
Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle

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Towards Multimodal In-Context Learning for Vision & Language Models

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Mar 19, 2024
Sivan Doveh, Shaked Perek, M. Jehanzeb Mirza, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky

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Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs

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Mar 19, 2024
M. Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Sivan Doveh, Jakub Micorek, Mateusz Kozinski, Hilde Kuhene, Horst Possegger

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CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

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Feb 21, 2024
Zexue He, Leonid Karlinsky, Donghyun Kim, Julian McAuley, Dmitry Krotov, Rogerio Feris

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3VL: using Trees to teach Vision & Language models compositional concepts

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Dec 28, 2023
Nir Yellinek, Leonid Karlinsky, Raja Giryes

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Learning Human Action Recognition Representations Without Real Humans

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Nov 10, 2023
Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogerio Feris

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GeRA: Label-Efficient Geometrically Regularized Alignment

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Oct 07, 2023
Dustin Klebe, Tal Shnitzer, Mikhail Yurochkin, Leonid Karlinsky, Justin Solomon

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Joint Audio and Speech Understanding

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Oct 02, 2023
Yuan Gong, Alexander H. Liu, Hongyin Luo, Leonid Karlinsky, James Glass

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Self-Specialization: Uncovering Latent Expertise within Large Language Models

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Sep 29, 2023
Junmo Kang, Hongyin Luo, Yada Zhu, James Glass, David Cox, Alan Ritter, Rogerio Feris, Leonid Karlinsky

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TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification

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Sep 13, 2023
M. Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Rogerio Feris, Horst Bischof

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