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News/STEER: Reducing Inference Cost in Relational Foundation Models through Semantically Informed Sampling
arxiv
PublishedOctober 3, 2026 at 4:00 AM
—neutral

STEER: Reducing Inference Cost in Relational Foundation Models through Semantically Informed Sampling

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arXiv:2610.00907v1 Announce Type: cross Abstract: Relational foundation models (RFMs) are pretrained once on a collection of relational databases and prediction tasks, and then applied zero-shot to previously unseen databases and tasks. To make a prediction for a target row, an RFM samples a neighbo

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