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sub:assertion {
  <https://doi.org/10.48550/arXiv.2405.04819> dct:title "DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#DALK> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#Almanac> , <https://neverblink.eu/ontologies/llm-kg/methods#ClinfoAi> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#Almanac> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Almanac" .
  <https://neverblink.eu/ontologies/llm-kg/methods#ClinfoAi> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Clinfo.ai" .
  <https://neverblink.eu/ontologies/llm-kg/methods#DALK> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "DALK is a dynamic co-augmentation framework where LLMs are leveraged to construct an evolving, domain-specific Knowledge Graph (KG), and subsequently, a novel self-aware knowledge retrieval method selects pertinent knowledge from this KG to augment LLM inference and reasoning capabilities. This unified framework emphasizes mutual enhancement and interaction for reasoning between LLMs and KGs." ;
    rdfs:label "DALK" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG> .
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