4 papers
On the Robustness of Multilingual Text Embedding Rankings Across Learning Tasks, Languages, and Benchmark Datasets
Ana Gjorgjevikj, Barbara KorouÅ¡iÄ Seljak, Tome Eftimov
Large-scale multilingual text embedding models play crucial role in both research and industry, yet their behavior in language-specific, multi-task settings remains insufficiently…
On the Structural (Dis)Agreement of Landscape Representations in Black-Box Optimization
Sara Gjorgjieva, Eva Tuba, Barbara KorouÅ¡iÄ Seljak +2
Landscape feature representations play a central role in automated algorithm selection and meta-learning for black-box optimization, yet little is known about how different represe…
Evaluation of LLMs in retrieving food and nutritional context for RAG systems
Maks Požarnik Vavken, Matevž Ogrinc, Tome Eftimov +1
In this article, we evaluate four Large Language Models (LLMs) and their effectiveness at retrieving data within a specialized Retrieval-Augmented Generation (RAG) system, using a…
Fusing Semantic, Lexical, and Domain Perspectives for Recipe Similarity Estimation
Denica Kjorvezir, Danilo Najkov, Eva ValenciÄ +4
This research focuses on developing advanced methods for assessing similarity between recipes by combining different sources of information and analytical approaches. We explore th…