OPI introduces a relation-centric ontology graph enabling bidirectional retrieval and iterative refinement, yielding Hit@1/F1 gains of 4.6/5.0 on WebQSP and 8.9/3.3 on CWQ plus near-saturated Hit@1 on MetaQA.
Learning to retrieve and reason on knowledge graph through active self-reflection
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The survey structures agentic reasoning for LLMs into foundational, self-evolving, and collective multi-agent layers while distinguishing in-context orchestration from post-training optimization and reviewing applications across domains.
citing papers explorer
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Ontology-Guided Evidence Path Inference for Multi-hop Knowledge Graph Question Answering
OPI introduces a relation-centric ontology graph enabling bidirectional retrieval and iterative refinement, yielding Hit@1/F1 gains of 4.6/5.0 on WebQSP and 8.9/3.3 on CWQ plus near-saturated Hit@1 on MetaQA.
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Agentic Reasoning for Large Language Models
The survey structures agentic reasoning for LLMs into foundational, self-evolving, and collective multi-agent layers while distinguishing in-context orchestration from post-training optimization and reviewing applications across domains.