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{
<
https://doi.org/10.48550/arXiv.2508.15790
>
dct:title
"KG-o1: Enhancing Multi-hop Question Answering in Large Language Models via Knowledge Graph Integration" ;
<
http://purl.org/spar/cito/describes
> <
https://neverblink.eu/ontologies/llm-kg/methods#KGo1
> ;
<
http://purl.org/spar/cito/discusses
> <
https://neverblink.eu/ontologies/llm-kg/methods#ChatGPT4o
> , <
https://neverblink.eu/ontologies/llm-kg/methods#ChatGPT4oMini
> , <
https://neverblink.eu/ontologies/llm-kg/methods#CoTChainOfThought
> , <
https://neverblink.eu/ontologies/llm-kg/methods#DPO
> , <
https://neverblink.eu/ontologies/llm-kg/methods#DeepSeekR1
> , <
https://neverblink.eu/ontologies/llm-kg/methods#DeepSeekR1DistillQwen14B
> , <
https://neverblink.eu/ontologies/llm-kg/methods#GRPO
> , <
https://neverblink.eu/ontologies/llm-kg/methods#Gemini20FlashThinking
> , <
https://neverblink.eu/ontologies/llm-kg/methods#Llama318BInstruct
> , <
https://neverblink.eu/ontologies/llm-kg/methods#OpenO1
> , <
https://neverblink.eu/ontologies/llm-kg/methods#Qwen2514BInstruct
> , <
https://neverblink.eu/ontologies/llm-kg/methods#Qwen257BInstruct
> ;
a
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>
a
<
http://purl.org/spar/fabio/Workflow
> ;
rdfs:label
"ChatGPT4o-mini" .
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>
a
<
http://purl.org/spar/fabio/Workflow
> ;
rdfs:label
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>
a
<
http://purl.org/spar/fabio/Workflow
> ;
rdfs:label
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>
a
<
http://purl.org/spar/fabio/Workflow
> ;
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>
a
<
http://purl.org/spar/fabio/Workflow
> ;
rdfs:label
"DeepSeek-R1-Distill-Qwen-14B" .
<
https://neverblink.eu/ontologies/llm-kg/methods#GRPO
>
a
<
http://purl.org/spar/fabio/Workflow
> ;
rdfs:label
"GRPO" .
<
https://neverblink.eu/ontologies/llm-kg/methods#Gemini20FlashThinking
>
a
<
http://purl.org/spar/fabio/Workflow
> ;
rdfs:label
"Gemini 2.0 Flash Thinking" .
<
https://neverblink.eu/ontologies/llm-kg/methods#KGo1
>
dct:subject
<
https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference
> ;
a
<
http://purl.org/spar/fabio/Workflow
> ;
rdfs:comment
"KG-o1 is a four-stage framework designed to enhance the intrinsic multi-hop reasoning abilities of LLMs. It leverages KGs to filter entities, generate logical paths, construct complex QA datasets for supervised fine-tuning (SFT) to simulate long-term thinking, and applies a Self-improved Adaptive DPO strategy to refine the LLMs' reasoning, ultimately improving LLM performance during inference for multi-hop question answering." ;
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"KG-o1" ;
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>
a
<
http://purl.org/spar/fabio/Workflow
> ;
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>
a
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http://purl.org/spar/fabio/Workflow
> ;
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>
a
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a
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