Author

Zequn Sun

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Preprint Aug 2026

Toward Effective and Reliable LLM Agents via Dynamic Ontology

OaK is presented, an ontology-as-a-kernel framework that dynamically constructs and refines task-oriented ontologies for LLM agents and shows that OaK improves standard LLM agents, strengthens evidence grounding, and boosts the reliability of multi-step reasoning.

Xiaohui Zhang, Zequn Sun, Cheng Yang et al. · 0 citations

Preprint Aug 2026

MAP-Graph: Provenance-Aware Shared Memory for Multi-Agent Workflows

MAP-Graph is introduced, a provenance-aware memory layer that represents agents, sources, memories, claims, and actions in a typed execution graph and supports provenance as an operational control signal, rather than only post-hoc audit metadata, within the evaluated setting.

Yiqi Wang, Zihao Yan, Jiaqi Zhang et al. · 4 citations