4 papers
On the Limitations of Large Language Models for Conceptual Database Modeling
Arthur F. Siqueira, Carlos D. S. Nogueira, Eduarda Farias +2
This article analyzes the use of Large Language Models (LLMs) as support for the conceptual modeling of relational databases through the automatic generation of Entity-Relationship…
Deepfake audio as a data augmentation technique for training automatic speech to text transcription models
Alexandre R. Ferreira, Cláudio E. C. Campelo
To train transcriptor models that produce robust results, a large and diverse labeled dataset is required. Finding such data with the necessary characteristics is a challenging tas…
Benchmarking quantized LLaMa-based models on the Brazilian Secondary School Exam
Matheus L. O. Santos, Cláudio E. C. Campelo
Although Large Language Models (LLMs) represent a revolution in the way we interact with computers, allowing the construction of complex questions and the ability to reason over a…
League of Legends: Real-Time Result Prediction
Jailson B. S. Junior, Claudio E. C. Campelo
This paper presents a study on the prediction of outcomes in matches of the electronic game League of Legends (LoL) using machine learning techniques. With the aim of exploring the…