A Prolog skill enables LLMs to structure placement intent into facts and queries while delegating constraint reasoning to symbolic logic for cloud-edge service placement.
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases
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Hybrid knowledge graph embeddings fused with vision transformer features outperform standard techniques on abstract concept classification by integrating situated perceptual knowledge from a new cultural image resource.
citing papers explorer
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A Neurosymbolic Prolog Skill for LLM-Driven Service Placement
A Prolog skill enables LLMs to structure placement intent into facts and queries while delegating constraint reasoning to symbolic logic for cloud-edge service placement.
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Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification
Hybrid knowledge graph embeddings fused with vision transformer features outperform standard techniques on abstract concept classification by integrating situated perceptual knowledge from a new cultural image resource.