Barbara Koroušić Seljak

Benchmark rankings for multilingual embedding models are severely compromised by dataset scarcity, with many relying on a single source, which could mislead evaluations.

LLMs can drastically reduce manual effort for domain experts in accessing complex food and nutrition data via RAG, but still struggle with queries that exceed the representational scope of the metadata.