ACM MM 2025 Workshop on Multimedia Analytics with Multimodal Large Language Models – Call For Papers

First Workshop on Multimedia Analytics with Multimodal Large Language Models

Dates: 27/28 October 2025

Location: Dublin, Ireland

https://ma-llm25.github.io/

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The First Workshop on Multimedia Analytics with Multimodal Large Language Models at ACM Multimedia 2025 aims to explore the potential and pitfalls of bringing Multimodal Large Language Models into multimedia analytics, and the new forms of interaction between system and experts that emerge from this. To guide this exploration we invite original research and position papers on (but not limited to) the following topics:

  • Multimodal Large Language Models 

  • Multimedia Analytics

  • Multimedia Interaction

  • Multimedia Summarisation

  • Visual Analytics

  • Interactive Multimedia Systems

  • Human-in-the-Loop Reinforcement Learning

Important Dates:

  • Paper submission deadline: June 20, 2025

  • ACM MM’25 Fast Track submission deadline: July 11, 2025

  • Author acceptance notification: August 1, 2025

  • Camera-Ready: August 11, 2025

  • Workshop date: 27/28 October 2025

Authors are invited to submit original full (up to 8 pages) or short (up to 4 pages) papers to be presented at the workshop upon acceptance.  Papers rejected or withdrawn from ACM Multimedia 2025 can be resubmitted to this workshop via the Fast Track. Accepted papers will be published in the ACM-MM Workshops proceedings.

You can submit your work via OpenReview. All listed authors must have an up-to-date OpenReview profile. Note that creating a profile without an institutional email may require moderation (up to 2 weeks).

Complete submission instructions are available on the website https://ma-llm25.github.io/

Organizers:

  • Marcel Worring, University of Amsterdam, Netherlands 

  • Shin’ichi Satoh, National Institute of Informatics, Japan

  • Tat-Seng Chua, National University of Singapore, Singapore

  • Lucia Vadicamo, CNR-ISTI, Italy

  • Laura Toni, University College London, United Kingdom

  • Nanne van Noord, University of Amsterdam, Netherlands 

  • Shuai Wang, University of Amsterdam, Netherlands 

  • Yassin Mohamadi, University of Amsterdam, Netherlands 

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