Toward Effective and Reliable LLM Agents via Dynamic Ontology
DGX agentarXiv:2608.22974v1 Announce Type: new Abstract: Large language model (LLM) agents rely heavily on knowledge encoded in model parameters or presented as unstructured context. In domain-specific tasks,