Author

T. Eftimov

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Open access Aug 2026

A Domain-Targeted Question-Answering Dataset for Food and Nutrition Applications

Evaluation of four general-purpose LLMs on FoodBench tasks shows limited performance across nutrient estimation, traffic-light classification, and food interoperability, even with few-shot prompting, highlighting the need for domain-specialized LLMs fine-tuned on food data.

T. Eftimov, Ana Gjorgjevikj, M. Martinc et al. · Scientific Data · 1 citation

Jul 2026

Unsupervised Multi-kernel Learning for Automated Algorithm Selection

Multi-kernel clustering over heterogeneous landscape representations obtains the strongest mean profile on the DE portfolio and remains competitive with, and nominally ahead of, the leading baselines on the more compressed PSO portfolio, where differences among the best methods are small relative to stochastic variatio...

Yi-Hang Lu, T. Eftimov, C. Doerr · arXiv.org · 0 citations

#small language model Preprint Aug 2026

Dataset Scarcity Limits Robust Evaluation of Multilingual Embedding Models: A Case Study of Slavic Languages

A two-dimensional framework, specifically tailored for analyzing multilingual embedding benchmarks under dataset scarcity, is proposed and applied on the Slavic-language subset of the MTEB benchmark, revealing severe benchmark sparsity.

Ana Gjorgjevikj, B. Seljak, T. Eftimov · 0 citations