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{
<
https://doi.org/10.48550/arXiv.2404.07677
>
dct:title
"ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs" ;
<
http://purl.org/spar/cito/describes
> <
https://neverblink.eu/ontologies/llm-kg/methods#ObservationDrivenAgentODA
> ;
<
http://purl.org/spar/cito/discusses
> <
https://neverblink.eu/ontologies/llm-kg/methods#CoT
> , <
https://neverblink.eu/ontologies/llm-kg/methods#DirectAnsweringWithDeepSeekV2
> , <
https://neverblink.eu/ontologies/llm-kg/methods#DirectAnsweringWithGPT35
> , <
https://neverblink.eu/ontologies/llm-kg/methods#DirectAnsweringWithGPT4
> , <
https://neverblink.eu/ontologies/llm-kg/methods#RACo
> , <
https://neverblink.eu/ontologies/llm-kg/methods#RAG
> , <
https://neverblink.eu/ontologies/llm-kg/methods#Re2G
> , <
https://neverblink.eu/ontologies/llm-kg/methods#SPARQLQA
> , <
https://neverblink.eu/ontologies/llm-kg/methods#SelfConsistency
> , <
https://neverblink.eu/ontologies/llm-kg/methods#ToG
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a
<
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> ;
rdfs:label
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>
a
<
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> ;
rdfs:label
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>
a
<
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rdfs:label
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<
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>
dct:subject
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<
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rdfs:comment
"ODA is a novel AI agent framework designed for KG-centric tasks. It integrates LLMs and KGs through a cyclical paradigm of observation, action, and reflection, enabling the LLM to leverage autonomous reasoning patterns from the KG. This framework creates a synergistic reasoning process where the LLM acts as an agent interacting with and being guided by the KG's knowledge to enhance problem-solving." ;
rdfs:label
"Observation-Driven Agent (ODA)" ;
<
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> <
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>
a
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>
a
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a
<
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a
<
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a
<
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>
a
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