Tag
HEAR is an enterprise agentic reasoner using a Stratified Hypergraph Ontology to perform multi-hop reasoning over heterogeneous business systems, achieving up to 94.7% accuracy on supply-chain tasks.
This paper introduces SAGE, a hierarchical LLM-based framework for evaluating literary quality through ontology-grounded interpretive dimensions. It demonstrates high reliability and inter-rater agreement in assessing cultural, emotional, and philosophical aspects of narratives, highlighting gaps between human-authored and LLM-generated works.
The article analyzes how Palantir's AIP platform serves as an example of an end-to-end Agent architecture, emphasizing the importance of ontology as the core enterprise knowledge for building an evolvable intelligence system.