3 papers
cs.CL2025
Artificial Conversations, Real Results: Fostering Language Detection with Synthetic Data
Fatemeh Mohammadi, Tommaso Romano, Samira Maghool +1
Collecting high-quality training data is essential for fine-tuning Large Language Models (LLMs). However, acquiring such data is often costly and time-consuming, especially for non…
cs.LG2024
Enhancing Model Fairness and Accuracy with Similarity Networks: A Methodological Approach
Samira Maghool, Paolo Ceravolo
In this paper, we propose an innovative approach to thoroughly explore dataset features that introduce bias in downstream machine-learning tasks. Depending on the data format, we u…
cs.CL2024
Are Large Language Models the New Interface for Data Pipelines?
Sylvio Barbon Junior, Paolo Ceravolo, Sven Groppe +5
A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant at…