Author

Francisco Galuppo Azevedo

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Preprint Oct 2026

Speedrunning Relational Foundation Model Pretraining

Progress on foundation model pretraining is gated by who can afford a trial, and relational pretraining is no exception. Recipes are developed inside individual labs, reported under private protocols, and do not accumulate. Speedrun leaderboards remove that barrier by decentralizing the search rather than the training...

Gabriel Wedson Mendonça de Souza Veloso, Luan Borges Teodoro Reis Sena, D. Correa et al. · 0 citations

#machine learning Preprint Aug 2026

Context Window Failures in Relational Foundation Models

Recent Relational Deep Learning architectures have been proposed as foundation models for multi-table relational data, yet they impose constrained neighborhood budgets that force row truncation when an entity has many related records. We introduce Animus, a synthetic financial dataset in which predicting customer incom...

D. Correa, Francisco Galuppo Azevedo · 0 citations

#machine learning Preprint Aug 2026

Can LLMs Use Relational Transformer Embeddings?

It is argued that soft-token fusion requires stronger alignment objectives and schema-aware design before it can serve as a reliable route to relational prediction.

Francisco Galuppo Azevedo, Clarissa Lima Loures · 0 citations