4 citations · 4 across the 5 of their papers we have counts for
4 papers · 1 filter
Context Window Failures in Relational Foundation Models
Denis Oliveira Correa, Francisco Galuppo Azevedo
Recent Relational Deep Learning architectures have been proposed as foundation models for multi-table relational data, yet they impose constrained neighborhood budgets that force r…
Can LLMs Use Relational Transformer Embeddings?
Francisco Galuppo Azevedo, Clarissa Lima Loures
Injecting frozen relational-encoder embeddings as soft tokens into a large language model (LLM) is a conceptually appealing fusion strategy: the encoder handles multi-table structu…
Real-Time Explanations for Tabular Foundation Models
Luan Borges Teodoro Reis Sena, Francisco Galuppo Azevedo
Interpretability is central for scientific machine learning, as understanding \emph{why} models make predictions enables hypothesis generation and validation. While tabular foundat…
Task Scarcity and Label Leakage in Relational Transfer Learning
Francisco Galuppo Azevedo, Clarissa Lima Loures, Denis Oliveira Correa
Training relational foundation models requires learning representations that transfer across tasks, yet available supervision is typically limited to a small number of prediction t…