AIBullisharXiv – CS AI · 8h ago7/10
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OpenRFM: Dissecting Relational In-Context Learning
Researchers have identified critical performance gaps in open-source Relational Foundation Models (RFMs) compared to commercial alternatives by analyzing the Relational Transformer architecture. Their findings—that sparse label coverage and insufficient real-world training data limit current models—led to OpenRFM, which achieves 30% performance improvements and outperforms the commercial KumoRFMv1 baseline.