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20242026
most citedExploring Large Language Models for Translating Romanian Computational Problems into English

3 citations · 5 across the 20 of their papers we have counts for

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cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.DC2025

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…

cs.CL2025

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…

cs.CY2025

MateInfoUB: A Real-World Benchmark for Testing LLMs in Competitive, Multilingual, and Multimodal Educational Tasks

Adrian Marius Dumitran, Theodor-Pierre Moroianu, Mihnea-Vicentiu Buca

The rapid advancement of Large Language Models (LLMs) has transformed various domains, particularly computer science (CS) education. These models exhibit remarkable capabilities in…

cs.CL2025

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…

cs.SE2025

Leveraging Generative AI for Enhancing Automated Assessment in Programming Education Contests

Stefan Dascalescu, Adrian Marius Dumitran, Mihai Alexandru Vasiluta

Competitive programming contests play a crucial role in cultivating computational thinking and algorithmic skills among learners. However, generating comprehensive test cases to ef…

cs.CL2025

From Struggle (06-2024) to Mastery (02-2025) LLMs Conquer Advanced Algorithm Exams and Pave the Way for Editorial Generation

Adrian Marius Dumitran, Theodor-Pierre Moroianu, Vasile Paul Alexe

This paper presents a comprehensive evaluation of the performance of state-of-the-art Large Language Models (LLMs) on challenging university-level algorithms exams. By testing mult…

cs.SE2025

BacPrep: Lessons from Deploying an LLM-Based Bacalaureat Assessment Platform

Adrian-Marius Dumitran, Radu Dita, Angela Liliana Dumitran

Accessing quality preparation and feedback for the Romanian Bacalaureat exam is challenging, particularly for students in remote or underserved areas. This paper presents BacPrep,…

cs.CL2025★ 3 cited

Exploring Large Language Models for Translating Romanian Computational Problems into English

Adrian Marius Dumitran, Adrian-Catalin Badea, Stefan-Gabriel Muscalu +3

Recent studies have suggested that large language models (LLMs) underperform on mathematical and computer science tasks when these problems are translated from Romanian into Englis…