3 citations · 17 across the 45 of their papers we have counts for
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RoLargeSum: A Large Dialect-Aware Romanian News Dataset for Summary, Headline, and Keyword Generation
Andrei-Marius Avram, Mircea Timpuriu, Andreea Iuga +6
Using supervised automatic summarisation methods requires sufficient corpora that include pairs of documents and their summaries. Similarly to many tasks in natural language proces…
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…
RoQLlama: A Lightweight Romanian Adapted Language Model
George-Andrei Dima, Andrei-Marius Avram, Cristian-George Crăciun +1
The remarkable achievements obtained by open-source large language models (LLMs) in recent years have predominantly been concentrated on tasks involving the English language. In th…
Enhancing Romanian Offensive Language Detection through Knowledge Distillation, Multi-Task Learning, and Data Augmentation
Vlad-Cristian Matei, Iulian-Marius Tăiatu, Răzvan-Alexandru Smădu +1
This paper highlights the significance of natural language processing (NLP) within artificial intelligence, underscoring its pivotal role in comprehending and modeling human langua…
Investigating the Impact of Semi-Supervised Methods with Data Augmentation on Offensive Language Detection in Romanian Language
Elena-Beatrice Nicola, Dumitru-Clementin Cercel, Florin Pop
Offensive language detection is a crucial task in today's digital landscape, where online platforms grapple with maintaining a respectful and inclusive environment. However, buildi…
HistNERo: Historical Named Entity Recognition for the Romanian Language
Andrei-Marius Avram, Andreea Iuga, George-Vlad Manolache +8
This work introduces HistNERo, the first Romanian corpus for Named Entity Recognition (NER) in historical newspapers. The dataset contains 323k tokens of text, covering more than h…
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation
Sebastian-Vasile Echim, Iulian-Marius Tăiatu, Dumitru-Clementin Cercel +1
This work focuses on plant leaf disease classification and explores three crucial aspects: adversarial training, model explainability, and model compression. The models' robustness…
Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification
Adrian Gheorghiu, Iulian-Marius Tăiatu, Dumitru-Clementin Cercel +2
The detection and classification of diseases in Robusta coffee leaves are essential to ensure that plants are healthy and the crop yield is kept high. However, this job requires ex…