2 citations · 2 across the 7 of their papers we have counts for
10 papers
RoBiologyDataChoiceQA: A Romanian Dataset for improving Biology understanding of Large Language Models
Dragos-Dumitru Ghinea, Adela-Nicoleta Corbeanu, Adrian-Marius Dumitran
In recent years, large language models (LLMs) have demonstrated significant potential across various natural language processing (NLP) tasks. However, their performance in domain-s…
A Cross-Lingual Analysis of Bias in Large Language Models Using Romanian History
Matei-Iulian Cocu, Răzvan-Cosmin Cristia, Adrian Marius Dumitran
In this case study, we select a set of controversial Romanian historical questions and ask multiple Large Language Models to answer them across languages and contexts, in order to…
Do LLMs Understand Romanian Driving Laws? A Study on Multimodal and Fine-Tuned Question Answering
Eduard Barbu, Adrian Marius Dumitran
Ensuring that both new and experienced drivers master current traffic rules is critical to road safety. This paper evaluates Large Language Models (LLMs) on Romanian driving-law QA…
Parallel Algorithms for the One Sided Crossing Minimization Problem
Bogdan-Ioan Popa, Adrian-Marius Dumitran, Livia Magureanu
The One Sided Crossing Minimization (OSCM) problem is an optimization problem in graph drawing that aims to minimize the number of edge crossings in bipartite graph layouts. It has…
GRILE: A Benchmark for Grammar Reasoning and Explanation in Romanian LLMs
Adrian-Marius Dumitran, Alexandra-Mihaela Danila, Angela-Liliana Dumitran
LLMs (Large language models) have revolutionized NLP (Natural Language Processing), yet their pedagogical value for low-resource languages remains unclear. We present GRILE (Gramma…
A Culturally-Rich Romanian NLP Dataset from "Who Wants to Be a Millionaire?" Videos
Alexandru-Gabriel Ganea, Antonia-Adelina Popovici, Adrian-Marius Dumitran
Large Language Models (LLMs) demonstrate varying performance across languages and cultural contexts. This study introduces a novel, culturally-rich, multilingual dataset derived fr…