2 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
Amadeus-Verbo Technical Report: The powerful Qwen2.5 family models trained in Portuguese
William Alberto Cruz-Castañeda, Marcellus Amadeus
This report introduces the experience of developing Amadeus Verbo, a family of large language models for Brazilian Portuguese. To handle diverse use cases, Amadeus Verbo includes b…
Evaluation Metrics for Text Data Augmentation in NLP
Marcellus Amadeus, William Alberto Cruz Castañeda
Recent surveys on data augmentation for natural language processing have reported different techniques and advancements in the field. Several frameworks, tools, and repositories pr…
Phonetically rich corpus construction for a low-resourced language
Marcellus Amadeus, William Alberto Cruz Castañeda, Wilmer Lobato +1
Speech technologies rely on capturing a speaker's voice variability while obtaining comprehensive language information. Textual prompts and sentence selection methods have been pro…
Performance of Data Augmentation Methods for Brazilian Portuguese Text Classification
Marcellus Amadeus, Paulo Branco
Improving machine learning performance while increasing model generalization has been a constantly pursued goal by AI researchers. Data augmentation techniques are often used towar…