Multimodal Large Language Models and Tunings: Vision, Language, Sensors, Audio, and Beyond

This tutorial explores recent advancements in multimodal pretrained and large models, capable of integrating and processing diverse data forms such as text, images, audio, and video. Participants will gain an understanding of the foundational concepts of multimodality, the evolution of multimodal research, and the key technical challenges addressed by these models. We will cover the latest multimodal datasets and pretrained models, including those beyond vision and language. Additionally, the tutorial will delve into the intricacies of multimodal large models and instruction tuning strategies to optimise performance for specific tasks. Hands-on laboratories will offer practical experience with state-of-the-art multimodal models, demonstrating real-world applications like visual storytelling and visual question answering. This tutorial aims to equip researchers, practitioners, and newcomers with the knowledge and skills to leverage multimodal AI. ACM Multimedia 2024 is the ideal venue for this tutorial, aligning perfectly with our goal of understanding multimodal pretrained and large language models, and their tuning mechanisms.

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Publication Details

Published
2024-10-26
DOI
https://doi.org/10.1145/3664647.3689177
Citations
3
Primary Topic
Human Motion and Animation
Type
article
Field-Weighted Citation Impact
0.98
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article

Multimodal Large Language Models and Tunings: Vision, Language, Sensors, Audio, and Beyond

Feiqi Cao, Roberto Navigli, Soyeon Caren Han, Josiah Poon
3 citations
Human Motion and Animation
0.98
article

Multimodal Large Language Models and Tunings: Vision, Language, Sensors, Audio, and Beyond

Feiqi Cao, Roberto Navigli, Soyeon Caren Han, Josiah Poon
article en
3 citations

Abstract

This tutorial explores recent advancements in multimodal pretrained and large models, capable of integrating and processing diverse data forms such as text, images, audio, and video. Participants will gain an understanding of the foundational concepts of multimodality, the evolution of multimodal research, and the key technical challenges addressed by these models. We will cover the latest multimodal datasets and pretrained models, including those beyond vision and language. Additionally, the tutorial will delve into the intricacies of multimodal large models and instruction tuning strategies to optimise performance for specific tasks. Hands-on laboratories will offer practical experience with state-of-the-art multimodal models, demonstrating real-world applications like visual storytelling and visual question answering. This tutorial aims to equip researchers, practitioners, and newcomers with the knowledge and skills to leverage multimodal AI. ACM Multimedia 2024 is the ideal venue for this tutorial, aligning perfectly with our goal of understanding multimodal pretrained and large language models, and their tuning mechanisms.

The University of Sydney (AU), The University of Melbourne (AU), Sapienza University of Rome (IT)
Quality Education
Openalex Percentile: Top 23%
Human Motion and Animation
0.98
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