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http://www.w3.org/2001/XMLSchema#
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http://purl.org/nanopub/x/
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{
<
https://doi.org/10.48550/arXiv.2411.19064
>
dct:title
"Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph" ;
<
http://purl.org/spar/cito/describes
> <
https://neverblink.eu/ontologies/llm-kg/methods#WayToSpecialistFramework
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<
http://purl.org/spar/cito/discusses
> <
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> , <
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> , <
https://neverblink.eu/ontologies/llm-kg/methods#Kermit
> , <
https://neverblink.eu/ontologies/llm-kg/methods#KicGpt
> , <
https://neverblink.eu/ontologies/llm-kg/methods#StandardIoPrompting
> , <
https://neverblink.eu/ontologies/llm-kg/methods#ThinkOnGraph
> ;
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>
a
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a
<
http://purl.org/spar/fabio/Workflow
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rdfs:label
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<
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>
a
<
http://purl.org/spar/fabio/Workflow
> ;
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<
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>
a
<
http://purl.org/spar/fabio/Workflow
> ;
rdfs:label
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>
dct:subject
<
https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning
> ;
a
<
http://purl.org/spar/fabio/Workflow
> ;
rdfs:comment
"The WTS framework introduces the \"LLM⟳KG\" paradigm for \"bidirectional enhancement\" between specialized LLMs and evolving Domain Knowledge Graphs (DKGs). It integrates DKG-Augmented LLM (KG improving LLM reasoning) and LLM-Assisted DKG Evolution (LLM evolving KG for better knowledge support), forming a continuous feedback loop. This architecture allows the LLM's reasoning to inform KG evolution, and the evolved KG, in turn, enhances the LLM's future reasoning capabilities, exemplifying synergistic reasoning." ;
rdfs:label
"Way-to-Specialist (WTS) framework" ;
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https://neverblink.eu/ontologies/llm-kg/hasTopCategory
> <
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