AIBullisharXiv – CS AI · Mar 56/10
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Relational In-Context Learning via Synthetic Pre-training with Structural Prior
Researchers introduce RDB-PFN, the first relational foundation model for databases trained entirely on synthetic data to overcome privacy and scarcity issues with real relational databases. The model uses a Relational Prior Generator to create over 2 million synthetic tasks and demonstrates strong few-shot performance on 19 real-world relational prediction tasks through in-context learning.