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CALL FOR PAPERS

SUBMISSION

FAST-TRACK

IMPORTANT DATES

ORGANIZATION COMMITTEE


CONTACT

mmoni@csu.edu.au



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LLM-UM: The 1st Workshop on Large Language Model Using Multi-modal Data for User Modeling

This workshop is a part of the 2025 ACM Web Conference.

Web-based user modeling is important because it enables personalized experiences by analyzing users' online behavior, preferences, and interactions, allowing systems to deliver tailored content, recommendations, and services in real-time. The workshop will explore cutting-edge approaches to enhancing user models through the integration of diverse data modalities. The discussions will begin with an introduction to the fundamental concepts of large language models (LLMs), including their architectures and applications in user-centric systems. The workshop will also introduce important ethical and technical considerations surrounding multi-modal data use. Issues such as data bias, privacy concerns, and the ethical implications of modeling users based on extensive personal data will be thoroughly examined. Additionally, the workshop will focus on future trends and innovations in the field, including emerging modalities like AR/VR data and the growing importance of real-time adaptation in user models. A discussion will provide an opportunity for collaboration, allowing participants to share their own experiences, challenges, and ideas for pushing the boundaries of multi-modal LLMs in user modeling.

Call for Papers

This workshop aims to explore the integration of large language models (LLMs) with multi-modal data sources, such as text, images, audio, and behavioral data, to advance personalized and adaptive user modeling. The rapid evolution of LLMs has opened new avenues for leveraging diverse data modalities to create more accurate, context-aware user models across applications like healthcare, personalized recommendation systems, intelligent tutoring, and human-computer interaction. This workshop provides a platform for researchers, practitioners, and industry professionals to present innovative ideas, share practical implementations, and discuss challenges and future directions in this emerging field.

We welcome submissions on topics including, but not limited to:

  • Multi-modal data integration for user modeling
  • Applications of LLMs in personalized and adaptive systems
  • Novel architectures combining LLMs with multi-modal data
  • Ethical and privacy considerations in multi-modal user modeling
  • Evaluation techniques for multi-modal user models
  • Case studies in healthcare, education, or recommendation systems
  • Benchmark datasets and tools for multi-modal modeling

We look forward to your contributions in this exciting area of research together!

Submission

Submissions must be in English, in double-column format, and must adhere to the ACM template and format (also available in Overleaf). Word users may use the Word Interim Template and the recommended setting for LaTeX is:

\documentclass[sigconf, anonymous, review]{acmart}.

Submissions must be a single PDF file: 4 (four) to 8 (eight) pages, with up to 2 additional pages for references and an optional Appendix (that can contain details on reproducibility, proofs, pseudo-code, etc).

Papers accepted by a workshop can be included in the Companion Proceedings of the Web Conference 2025, subject to meeting the camera-ready timeline. Workshop papers that have been previously published or are under review for another journal, conference or workshop should not be considered for publication.

The submission can be made via the following EasyChair link: https://easychair.org/my/conference?conf=llmum2025

Workshop Fast-track

To provide authors the opportunity to participate in TheWebConf 2025 and present their work, we will open Fast-track submissions for papers that were rejected from TheWebConf 2025 main track or short papers track.

Please note:

1. All papers submitted via Fast-track must add an Appendix below the References where authors should cut and paste the reviews from the main review process. Modifying reviewer comments is strictly prohibited, and the reviews should not be shared with any third parties. They will be only visible to the workshop organizers who are workshop meta-reviewers.

2. In the Appendix, authors should also include a section titled "Improvements", briefly describing whether they were able to address some of the issues raised in the main review and how they did so. Only light revisions are expected, and if the work is already in good shape, no revisions are required. Major changes are not allowed.

3. By default we assume accepted papers will be published in Companion proceedings but the authors of accepted workshop papers can communicate with workshop organisers if they wish to opt out from the Companion proceedings.

4. Authors of Fast-track submissions that will be accepted (at least one for a paper) agree to register papers to participate in the conference to present their works (as per general rules of the main-track call.) Please note each workshop may offer different modes of presentation (oral, poster, etc.) and camera-ready deadlines are not long after the final decision (please check individual workshop websites and communicate with organisers).

Important Dates

Workshop paper submission portal open November 28, 2024
Workshop paper submission deadline December 25, 2024 January 26, 2025
Workshop fast-track submission deadline January 26, 2025
Workshop paper notification January 13, 2025 January 27, 2025
Workshop paper camera-ready February 2, 2025 February 19, 2025
Workshop April 29, 2025

All submission deadlines are end-of-day in the Anywhere on Earth (AoE) time zone.

Organization Committee

Mohammad Ali Moni, The University of Queensland, Australia

Zhicheng Lu, Charles Sturt University, Australia

Vera Yuk Ying Chung, The University of Sydney, Australia

Weidong Cai, The University of Sydney, Australia

Xiaoming Chen, Beijing Technology and Business University, China

Changseok Bae, Daejeon University, South Korea