1 citations · 1 across the 3 of their papers we have counts for
6 papers
What Makes a Latent Space Shared? Direct and Recoverable Compatibility in Motion VAEs
Iago Brito, Walcy Rios, Lucas Fernandes +2
A shared latent space is often assumed to make representations from different schemas directly interchangeable, yet sharing parameters, dimensionality, or a prior does not determin…
SpatialChain: A Benchmark for Auditing Spatial Reasoning Faithfulness in VLMs
Rafael Teixeira Sousa, Vinícius Paulo Lopes de Oliveira, Elisa Ayumi Masasi de Oliveira +5
Thinking-enabled vision-language models (VLMs) report ever-higher accuracy on spatial benchmarks, yet final-answer scores cannot reveal whether a correct prediction reflects faithf…
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"…
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…
Evaluation of Speech Representations for MOS prediction
Frederico S. Oliveira, Edresson Casanova, Arnaldo Cândido Júnior +3
In this paper, we evaluate feature extraction models for predicting speech quality. We also propose a model architecture to compare embeddings of supervised learning and self-super…