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Barbara Koroušić Seljak on Muck Rack

Barbara Koroušić Seljak

As seen in: Nature, MDPI
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Articles

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

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By Tome Eftimov, Ana Gjorgjevikj, Matej Martinc, Gjorgjina Cenikj, Riste Stojanov, Barbara Koroušić Seljak, Darko Sasanski, Sašo Dzeroski
| Nature Verified
Abstract General-purpose Large Language Models (LLMs) like Llama, GPT, and Mistral struggle with domain-specific challenges in food and nutrition, where data is fragmented, heterogeneous, and semantically complex. While fine-tuned LLMs have shown success in healthcare and life sciences, similar progress in food domains has been limited, largely due to the lack of high-quality, task-specific datasets.
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FoodSEM: Large Language Model Specialized in Food Named-Entity Linking

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By Barbara Koroušić, Gjorgjina Cenikj, Barbara Koroušić Seljak, Matej Martinc
| arXiv
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Dietary Intake of Adolescents and Alignment with Recommendations for Healthy and Sustainable Diets: Results of the SI.Menu Study

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By Hristo Hristov, Živa Lavriša, Jerneja Farkas, Barbara Koroušić Seljak
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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