Relational Foundation Models
PulseAugur coverage of Relational Foundation Models — every cluster mentioning Relational Foundation Models across labs, papers, and developer communities, ranked by signal.
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STEER sampling method cuts RFM inference costs by 40%
Researchers have developed STEER, a novel sampling method designed to reduce the inference cost of Relational Foundation Models (RFMs). RFMs typically sample related rows from a database to form their inference context,…
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New framework PLUREL generates synthetic relational databases for AI model training
Researchers have introduced PLUREL, a novel framework designed to generate synthetic multi-table relational databases. This framework addresses the challenge of training Relational Foundation Models (RFMs) by overcoming…
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OpenRFM advances relational in-context learning with new architecture
Researchers have introduced OpenRFM, a new framework designed to improve Relational Foundation Models (RFMs) for in-context learning. The study identifies key limitations in existing models, such as the Relational Trans…