Preface to the GeoFM 2026 Workshop Proceedings: Geography According to Foundation Models
This is the index volume of the Proceedings of the 1st International Workshop on Geography According to Foundation Models (GeoFM 2026), held as a preconference workshop of AGILE 2026 in Tartu, Estonia, on 16 June 2026. Each workshop contribution is published in Zenodo as a separate record with its own DOI. You may cite this index volume to reference the full proceedings or cite individual papers independently, as appropriate. Accepted papers Iyer, M., Kirana, A. P., By, R. A. de ., & Farnaghi, M. (2026, June 11). Bench4GeoCode: A Benchmark for Natural Language to Geospatial Code Generation. https://doi.org/10.5281/zenodo.20645018 Karimi, M., Wang, S., Liu, Z., & Süß, A. (2026, June 11). Do AI Models Remember History? Representing Phantom Borders in Large Language Models. https://doi.org/10.5281/zenodo.20645391 Majic, I., Welscher, F., & Huebl, F. (2026, June 12). Do foundation models have local knowledge? A case study on bicycle routing in Graz. https://doi.org/10.5281/zenodo.20659334 Wang, S., Karimi, M., Liu, Z., Süß, A., & Sakdapolrak, P. (2026, June 12). From Diversity to Validity: The Statistical Fidelity of LLM-Generated Synthetic Populations. https://doi.org/10.5281/zenodo.20666768 Abbasi, O. R., & Scholz, J. (2026, June 13). Geoprivacy Leaks in Autonomous Agent-to-Agent (A2A) Conversations. https://doi.org/10.5281/zenodo.20676995
Authors
- Yingjing Huang (ORCID: https://orcid.org/0000-0002-8772-1403)
- Grant McKenzie (ORCID: https://orcid.org/0000-0003-3247-2777)
- Rui Zhu (ORCID: https://orcid.org/0000-0002-8910-9445)
- Krzysztof Janowicz (ORCID: https://orcid.org/0009-0003-1968-887X)
- Alexandra Fortacz (ORCID: https://orcid.org/0009-0007-8370-1572)
Institutions
- University of Vienna (AT)
- University of Bristol (GB)
- McGill University (CA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-13
- DOI
- https://doi.org/10.5281/zenodo.20677035
- Primary Topic
- Human Mobility and Location-Based Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00