Abstract
This Advanced Seminar provides a comprehensive overview of the research landscape of employing Large Language Models (LLMs) for Urban Mobility applications. The presented work in this seminar is categorized based on how LLMs are employed to serve various urban mobility applications. This goes from employing LLMs as a black box with a bit of prompt engineering, to fine-tuning LLMs to fit urban mobility applications, to completely retrain a vanilla LLM architecture with urban mobility data, to modifying the internal LLM loss function to fit urban mobility applications. The seminar concludes by presenting a set of benchmarking and evaluation work while pointing out to research gaps, open problems, and future research directions for employing LLMs to urban mobility applications.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2025 26th IEEE International Conference on Mobile Data Management, MDM 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 175-178 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798331525699 |
| DOIs | |
| State | Published - 2025 |
| Event | 26th IEEE International Conference on Mobile Data Management, MDM 2025 - Irvine, United States Duration: Jun 2 2025 → Jun 5 2025 |
Publication series
| Name | Proceedings - IEEE International Conference on Mobile Data Management |
|---|---|
| ISSN (Electronic) | 2375-0324 |
Conference
| Conference | 26th IEEE International Conference on Mobile Data Management, MDM 2025 |
|---|---|
| Country/Territory | United States |
| City | Irvine |
| Period | 6/2/25 → 6/5/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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