Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RAG8_qh-EdENdG2KreTmWTCPwnJwcBbbMa2VcH8uUvbpA/assertion>. }
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- BetaE type Workflow assertion.
- CQD type Workflow assertion.
- GQE type Workflow assertion.
- Query2Box type Workflow assertion.
- ROG type Workflow assertion.
- arXiv.2602.02382 type Entity assertion.
- BetaE label "BetaE" assertion.
- CQD label "CQD" assertion.
- GQE label "GQE" assertion.
- Query2Box label "Query2Box" assertion.
- ROG label "ROG" assertion.
- ROG comment "ROG is a retrieval-augmented framework that combines query-aware neighborhood retrieval from Knowledge Graphs with Large Language Model chain-of-thought reasoning to answer complex First-Order Logic queries. It explicitly decomposes multi-operator queries, grounds each step in compact, retrieved KG evidence, and caches intermediate answer sets. This approach treats the LLM as an agent interacting with the KG to conduct complex, multi-step logical reasoning, thus synergizing both components for enhanced reasoning capabilities." assertion.
- arXiv.2602.02382 describes ROG assertion.
- arXiv.2602.02382 discusses BetaE assertion.
- arXiv.2602.02382 discusses CQD assertion.
- arXiv.2602.02382 discusses GQE assertion.
- arXiv.2602.02382 discusses Query2Box assertion.
- ROG subject SynergizedReasoning assertion.
- arXiv.2602.02382 title "ROG: Retrieval-Augmented LLM Reasoning for Complex First-Order Queries over Knowledge Graphs" assertion.
- ROG hasTopCategory SynergizedLLMKG assertion.