works on
database schema modeling 1pretraining 1relational foundation models 1scaling laws 1synthetic data generation 1

From the 1 of 4 linked papers with an AI index.

collaborators
Showing cs.DBShow all

1 paper · 1 filter

cs.DB2026

PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models

Vignesh Kothapalli, Rishabh Ranjan, Valter Hudovernik +4

The paper presents PLUREL, a lightweight framework for generating synthetic multi-table relational databases, enabling the study of scaling laws in relational foundation models and…