A two-stage framework learns complex event rules from LLM-generated pseudo traces and then maps sensor embeddings into that rule space, matching a stronger baseline with half the labels on a synthetic benchmark.
Gatehub: Gated history unit with background suppression for online action detection, 2022
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NAROCE: A Neural Algorithmic Reasoner Framework for Online Complex Event Detection
A two-stage framework learns complex event rules from LLM-generated pseudo traces and then maps sensor embeddings into that rule space, matching a stronger baseline with half the labels on a synthetic benchmark.