Author

V. Mrzljak

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Open access Oct 2026

Benchmarking Local Large Language Models for Structured Knowledge Extraction in Conversational Commerce

The integration of natural language understanding into conversational commerce requires robustly extracting structured intents from idiomatic text. While cloud-based models are highly capable, their latency, privacy risks, and operational costs necessitate efficient local alternatives. To address this, we empirically e...

Ratomir Karlović, Luka Sever, Marijela Miličević et al. · Information · 0 citations

Open access Sep 2026

Accuracy Evaluation of LLM-Generated Electronic Health Record Interpretations Against Medically Verified Sources

This study evaluates the accuracy of medical-report interpretations generated by large language models in comparison to medically verified sources, with a particular focus on urology. The main goal is to examine the extent to which LLMs can reliably and precisely explain medical findings, with emphasis on expert urolog...

Mia Rovis, Alma Smajić, Marijela Miličević et al. · Bioengineering · 0 citations

Open access Jul 2026

The Socratic Trap: Benchmarking the Capacity of Large Language Models to Generate Strategic Misconceptions in Computer Science Education

SocraticTrap-CS is introduced, a publicly available benchmark that probes the capacity of open-weight LLMs to generate strategic misconceptions on demand and reframes the evaluation of educational LLMs around pedagogical trustworthiness rather than factual correctness alone.

Marijela Miličević, Mia Rovis, Ratomir Karlović et al. · Information · 0 citations