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Št. zadetkov: 4
Benchmarking sentence encoders in associating indicators with sustainable development goals and targets
Ana Gjorgjevikj, Kostadin Mishev, Dimitar Trajanov, Ljupčo Kocarev
Izvirni znanstveni članek
Oznake: representation learning;
The United Nations’ 2030 Agenda for Sustainable Development balances the economic, environmental, and social dimension of sustainable development in 17 Sustainable Development Goals (SDGs), monitored through a well-defined set of targets and global indicators. Although essential for humanity’s futur ...
Leto: 2025 Vir: Institut Jožef Stefan (IJS)
User-defined trade-offs in LLM benchmarking
Ana Gjorgjevikj, Ana Nikolikj, Barbara Koroušić-Seljak, Tome Eftimov
Izvirni znanstveni članek
Oznake: veliki jezikovni modeli;večkriterijsko odločanje;large language models;benchmarking;multi-criteria decision-making;
This paper presents xLLMBench, a transparent, decision-centric benchmarking framework that empowers decision-makers to rank large language models (LLMs) based on their preferences across diverse, potentially conflicting performance and non-performance criteria, e.g., domain accuracy, model size, ene ...
Leto: 2025 Vir: Institut Jožef Stefan (IJS)
FoodSEM
Ana Gjorgjevikj, Matej Martinc, Gjorgjina Cenikj, Sašo Džeroski, Barbara Koroušić-Seljak, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: veliki jezikovni modeli;podatki o hrani;large language models;food ontology;food data;named-entity linking;
FoodSEM
Leto: 2026 Vir: Institut Jožef Stefan (IJS)
Large language models in food and nutrition science
Ana Gjorgjevikj, Matej Martinc, Gjorgjina Cenikj, Jan Drole, Nives Ogrinc, Sašo Džeroski, Barbara Koroušić-Seljak, Tome Eftimov
Izvirni znanstveni članek
Oznake: FoodyLLM;interoperabilnost podatkov;nutrient estimation;data interoperability;
Background Reliable nutrient profiling and semantic interoperability are essential for scalable dietary assessment, food labeling (e.g., traffic-light schemes), and FAIR integration of food composition and consumption data. However, general-purpose large language models (LLMs) are not systematically ...
Leto: 2026 Vir: Institut Jožef Stefan (IJS)
Št. zadetkov: 4
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