A Foundation Model for Zero-Shot Logical Rule Induction 事件

A Foundation Model for Zero-Shot Logical Rule Induction arXiv:2605.04916v2 Announce Type: replace Abstract: Inductive Logic Programming (ILP) learns interpretable logical rules from data. Existing methods are transductive: their learned parameters are bound to specific predicates and require retraining for each new task. We introduce Neural Rule Inducer (NRI), a pretrained model for zero-shot rule induction. Rather than encoding literal identities, NRI represents literals using domain-agnostic