4 papers
Early Estimation of Language to Latent Alignment in Diffusion Models
Vasco Ramos, Regev Cohen, Idan Szpektor +1
Conditional diffusion models frequently suffer from language-image misalignments. Due to the ambiguity of intermediate noise corrupted latents, assessing prompt adherence currently…
AMALIA Technical Report: A Fully Open Source Large Language Model for European Portuguese
Afonso SimplÃcio, Gonçalo Vinagre, Miguel Moura Ramos +19
Despite rapid progress in open large language models (LLMs), European Portuguese (pt-PT) remains underrepresented in both training data and native evaluation, with machine-translat…
Latent Beam Diffusion Models for Generating Visual Sequences
Guilherme Fernandes, Vasco Ramos, Regev Cohen +2
While diffusion models excel at generating high-quality images from text prompts, they struggle with visual consistency when generating image sequences. Existing methods generate e…
Contrastive Sequential-Diffusion Learning: Non-linear and Multi-Scene Instructional Video Synthesis
Vasco Ramos, Yonatan Bitton, Michal Yarom +2
Generated video scenes for action-centric sequence descriptions, such as recipe instructions and do-it-yourself projects, often include non-linear patterns, where the next video ma…