2 papers
cs.LG2026
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…
cs.LG2026
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…