1 citations · 1 across the 4 of their papers we have counts for
4 papers
A comprehensive study of LLM-based argument classification: from Llama through DeepSeek to GPT-5.2
Marcin Pietroń, Filip Gampel, Jakub Gomułka +2
Argument mining (AM) is an interdisciplinary research field focused on the automatic identification and classification of argumentative components, such as claims and premises, and…
A comprehensive study of LLM-based argument classification: from LLAMA through GPT-4o to Deepseek-R1
Marcin Pietroń, Rafał Olszowski, Jakub Gomułka +2
Argument mining (AM) is an interdisciplinary research field that integrates insights from logic, philosophy, linguistics, rhetoric, law, psychology, and computer science. It involv…
Cloud-based digitization workflow with rich metadata acquisition for cultural heritage objects
Krzysztof Kutt, Luiz do Valle Miranda, Jakub Gomułka +1
In response to several cultural heritage initiatives at the Jagiellonian University, we developed a new digitization workflow in collaboration with the Jagiellonian Library (JL). T…
Efficient argument classification with compact language models and ChatGPT-4 refinements
Marcin Pietron, Rafał Olszowski, Jakub Gomułka
Argument mining (AM) is defined as the task of automatically identifying and extracting argumentative components (e.g. premises, claims, etc.) and detecting the existing relations…