9 citations · 13 across the 5 of their papers we have counts for
6 papers
A Large-Scale Benchmark for Evaluating Large Language Models on Medical Question Answering in Romanian
Ana-Cristina Rogoz, Radu Tudor Ionescu, Alexandra-Valentina Anghel +3
We introduce MedQARo, the first large-scale medical QA benchmark in Romanian, alongside a comprehensive evaluation of state-of-the-art large language models (LLMs). We construct a…
Large Multimodal Models for Low-Resource Languages: A Survey
Marian Lupascu, Ana-Cristina Rogoz, Mihai Sorin Stupariu +1
In this survey, we systematically analyze techniques used to adapt large multimodal models (LMMs) for low-resource (LR) languages, examining approaches ranging from visual enhancem…
PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts
Ana-Cristina Rogoz, Maria Ilinca Nechita, Radu Tudor Ionescu
We introduce PoPreRo, the first dataset for Popularity Prediction of Romanian posts collected from Reddit. The PoPreRo dataset includes a varied compilation of post samples from fi…
UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions
Ana-Cristina Rogoz, Radu Tudor Ionescu
This work explores a novel data augmentation method based on Large Language Models (LLMs) for predicting item difficulty and response time of retired USMLE Multiple-Choice Question…
Semantic Segmentation Alternative Technique: Segmentation Domain Generation
Ana-Cristina Rogoz, Radu Muntean, Stefan Cobeli
Detecting objects of interest in images was always a compelling task to automate. In recent years this task was more and more explored using deep learning techniques, mostly using…
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles
Ana-Cristina Rogoz, Mihaela Gaman, Radu Tudor Ionescu
In this work, we introduce a corpus for satire detection in Romanian news. We gathered 55,608 public news articles from multiple real and satirical news sources, composing one of t…