2.1 Large Language Model(LLMs) 主要依靠transformer和注意力机制 分类如上所示。 LLM根据结构分类如下: 2.1.1 Encoder-only LLMs 主要根据输入句子来预测mask words。 主要应用在文本分类,实体识别领域。 2.1.2 Encoder-decoder LLMs 将输入文本编码至隐藏层,再生成目标文本。 主要应用在总结、翻译和问答系统 2.1...
To bridge these gaps, we propose the Knowledge Graph Large Language Model Framework (KG-LLM Framework), a novel approach to multi-hop link prediction. As illustrated in Figure 1, envision a KG wherein nodes are interconnected through specific relations. Initially, our framework takes input of th...
42:2LLMsandKGs:OpportunitiesandChallenges 2012ACMSubjectClassicationGeneralandreerence→Generalliterature,Generalandreerence KeywordsandPhrasesLargeLanguageModel,Pre-trainedLanguageModel,KnowledgeGraph,On- tology,RetrievalAugmentedLanguageModels DigitalObjectIdentier10.1234/0000000.00000000 ReceivedDateosubmissionAcceptedDate...
itaugmentsthe response with the contextual data in the knowledge graph. Thisopens in new tabGraphRAGprocess generates more precise, accurate, and contextually relevant output, while preventing false information, also known asLLM hallucination.
如图1所示,我们为QA任务引入了KG-Rank (Knowledge Graph-Rank)框架。 2.1 External Knowledge Graph We define the external KG as G = (V, E), where V represents the set of medical entities and E represents the set of structural relations. For medical QA, we choose UMLS (Bodenreider, 2004) as...
Knowledge Graphs (KGs) have become crucial for virtual assistants, web search, and organizational data comprehension in recent years. Examples include Wikidata, DBpedia, YAGO, and NELL, which large companies utilize for data organization. Building KGs in
Large language models have achieved outstanding performance on various downstream tasks with their advanced understanding of natural language and zero-shot
Integrating Knowledge Graph and Large Language Model for Safety Management Regulatory Textsdoi:10.1007/978-3-031-81673-4_76The safety management in the infrastructure industry is governed by a variety of regulatory documents and management codes. However, the current regulation compliance checking often ...
Knowledge Graph-Enhanced Semantic Cache for Low-Latency and Cost-Effective Inference in Large Language Models In organizational knowledge management, Large Language Model (LLM) caches act as a semantic repository gathered from previous LLM responses. Due to intensi... N Dominic,B Pardamean - Interna...
Neo4j Vector Index and GraphCypherQAChain for optimizing the synthesis of information for informed response generation with Mistral-7b