27 citations · 40 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark
Łukasz Augustyniak, Szymon Woźniak, Marcin Gruza +4
Despite impressive advancements in multilingual corpora collection and model training, developing large-scale deployments of multilingual models still presents a significant challe…
Assessment of Massively Multilingual Sentiment Classifiers
Krzysztof Rajda, Łukasz Augustyniak, Piotr Gramacki +3
Models are increasing in size and complexity in the hunt for SOTA. But what if those 2\% increase in performance does not make a difference in a production use case? Maybe benefits…