2 citations · 3 across the 5 of their papers we have counts for
5 papers
Much of Geospatial Web Search Is Beyond Traditional GIS
Ilya Ilyankou, Stefano Cavazzi, James Haworth
Web search queries concern place far more often than existing labelling schemes suggest, yet the landscape of geospatial web search queries - what people ask of place, and how ofte…
The Scenic Route to Deception: Dark Patterns and Explainability Pitfalls in Conversational Navigation
Ilya Ilyankou, Stefano Cavazzi, James Haworth
As pedestrian navigation increasingly experiments with Generative AI, and in particular Large Language Models, the nature of routing risks transforming from a verifiable geometric…
Quantifying Geospatial in the Common Crawl Corpus
Ilya Ilyankou, Meihui Wang, Stefano Cavazzi +1
Large language models (LLMs) exhibit emerging geospatial capabilities, stemming from their pre-training on vast unlabelled text datasets that are often derived from the Common Craw…
CC-GPX: Extracting High-Quality Annotated Geospatial Data from Common Crawl
Ilya Ilyankou, Meihui Wang, Stefano Cavazzi +1
The Common Crawl (CC) corpus is the largest open web crawl dataset containing 9.5+ petabytes of data captured since 2008. The dataset is instrumental in training large language mod…
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text?
Ilya Ilyankou, Aldo Lipani, Stefano Cavazzi +2
Sentence transformers are language models designed to perform semantic search. This study investigates the capacity of sentence transformers, fine-tuned on general question-answeri…