1 citations · 2 across the 7 of their papers we have counts for
7 papers
AQBuc: Air Pollution Forecasting in Bucharest
Dragoş-Andrei Şerban, Răzvan-Alexandru Smădu, Dumitru-Clementin Cercel
In recent years, air pollution, especially the particulate matter (PM2.5), has become a growing concern mainly in urban areas. Exposure to air pollution is linked…
SeLeRoSa: Sentence-Level Romanian Satire Detection Dataset
Răzvan-Alexandru Smădu, Andreea Iuga, Dumitru-Clementin Cercel +1
Satire, irony, and sarcasm are techniques typically used to express humor and critique, rather than deceive; however, they can occasionally be mistaken for factual reporting, akin…
RoD-TAL: A Benchmark for Answering Questions in Romanian Driving License Exams
Andrei Vlad Man, Răzvan-Alexandru Smădu, Cristian-George Craciun +3
The intersection of AI and legal systems presents a growing need for tools that support legal education, particularly in under-resourced languages such as Romanian. In this work, w…
MuSaRoNews: A Multidomain, Multimodal Satire Dataset from Romanian News Articles
Răzvan-Alexandru Smădu, Andreea Iuga, Dumitru-Clementin Cercel
Satire and fake news can both contribute to the spread of false information, even though both have different purposes (one if for amusement, the other is to misinform). However, it…
GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering
Cristian-George Crăciun, Răzvan-Alexandru Smădu, Dumitru-Clementin Cercel +1
Pre-trained Language Models (PLMs) have shown remarkable performances in recent years, setting a new paradigm for NLP research and industry. The legal domain has received some atte…
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups
Răzvan-Alexandru Smădu, David-Gabriel Ion, Dumitru-Clementin Cercel +2
Complex Word Identification (CWI) is an essential step in the lexical simplification task and has recently become a task on its own. Some variations of this binary classification t…
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition
David-Gabriel Ion, Răzvan-Alexandru Smădu, Dumitru-Clementin Cercel +2
Best-performing speech models are trained on large amounts of data in the language they are meant to work for. However, most languages have sparse data, making training models chal…