1 citations · 1 across the 4 of their papers we have counts for
6 papers
SQL-Zero: Self-Evolving Text-to-SQL
Daniel Machado Pedrozo, Julia Soares Dollis, Bryan Lincoln Marques de Oliveira +3
Training a competitive Text-to-SQL agent usually depends on human-annotated natural-language/SQL pairs, which are expensive, domain-specific, and a bottleneck for scaling to new da…
Safety Is Not Universal: The Selective Safety Trap in LLM Alignment
Iago Alves Brito, Walcy Santos Rezende Rios, Julia Soares Dollis +2
Current safety evaluations of large language models (LLMs) create a dangerous illusion of universal protection by aggregating harms under generic categories such as "Identity Hate"…
MedPT: A Massive Medical Question Answering Dataset for Brazilian-Portuguese Speakers
Fernanda Bufon Färber, Iago Alves Brito, Julia Soares Dollis +3
While large language models (LLMs) show transformative potential in healthcare, their development remains focused on high-resource languages. This creates a critical barrier for ot…
When Avatars Have Personality: Effects on Engagement and Communication in Immersive Medical Training
Julia S. Dollis, Iago A. Brito, Fernanda B. Färber +5
While virtual reality (VR) excels at simulating physical environments, its effectiveness for training complex interpersonal skills is limited by a lack of psychologically plausible…
ToxSyn-PT: A Synthetic Fine-Grained Dataset of Minority-Targeted Toxic Language in Portuguese
Iago Alves Brito, Julia Soares Dollis, Fernanda Bufon Farber +2
The development of robust hate speech detection systems remains limited by the lack of large-scale, fine-grained training data, especially for languages beyond English. Existing co…
Integrating Personality into Digital Humans: A Review of LLM-Driven Approaches for Virtual Reality
Iago Alves Brito, Julia Soares Dollis, Fernanda Bufon Färber +3
The integration of large language models (LLMs) into virtual reality (VR) environments has opened new pathways for creating more immersive and interactive digital humans. By levera…