34 citations · 55 across the 6 of their papers we have counts for
10 papers
OBSR: Open Benchmark for Spatial Representations
Julia Moska, Oleksii Furman, Kacper Kozaczko +4
GeoAI is evolving rapidly, fueled by diverse geospatial datasets like traffic patterns, environmental data, and crowdsourced OpenStreetMap (OSM) information. While sophisticated AI…
A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis
Bruno Martins, Piotr Szymański, Piotr Gramacki
The emergence of Large Language Models (LLMs) has transformed information access, with current LLMs also powering deep research systems that can generate comprehensive report-style…
Evaluation of Code LLMs on Geospatial Code Generation
Piotr Gramacki, Bruno Martins, Piotr Szymański
Software development support tools have been studied for a long time, with recent approaches using Large Language Models (LLMs) for code generation. These models can generate Pytho…
This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish
Łukasz Augustyniak, Kamil Tagowski, Albert Sawczyn +9
The availability of compute and data to train larger and larger language models increases the demand for robust methods of benchmarking the true progress of LM training. Recent yea…
gtfs2vec -- Learning GTFS Embeddings for comparing Public Transport Offer in Microregions
Piotr Gramacki, Szymon Woźniak, Piotr Szymański
We selected 48 European cities and gathered their public transport timetables in the GTFS format. We utilized Uber's H3 spatial index to divide each city into hexagonal micro-regio…
Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data
Kamil Raczycki, Piotr Szymański
Bicycle-sharing systems (BSS) have become a daily reality for many citizens of larger, wealthier cities in developed regions. However, planning the layout of bicycle-sharing statio…