[arxiv] DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. 2024.05 [arxiv] BiasKG: Adversarial Knowledge Graphs to Induce Bias in Large Language Models. 2024.05 [arxiv] AttacKG+:Boosting Attack Knowledge Graph Construction with Larg...
【KG&LLM相关文献列表】’KG-LLM-Papers - [Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)' ZJUKG GitHub: github.com/zjukg/KG-LLM-Papers #开源# #机器学习# û收藏 9 评论 ñ9 评论 o p 同时转发到我的微博 按热度 按时间 ...
RManLuo/Awesome-LLM-KG Awesome-LLM-KG A collection of papers and resources about unifying large language models (LLMs) and knowledge graphs (KGs). Large language models (LLMs) have achieved remarkable success and generalizability in various applications. However, they often fall short of capturing...
1- Theoretical Frameworks: Papers elucidating the theoretical underpinnings of integrating KGs and LLMs, including methodologies, algorithms, and models for knowledge-enhanced language understanding and generation. 2- Historical Perspectives: Insights into the evolution of KGs and LLMs, tracing their develo...
导读知识图谱和大型语言模型都是用来表示和处理知识的手段。大模型补足了理解语言的能力,知识图谱则丰富了表示知识的方式,两者的深度结合必将为人工智能提供更为全面、可靠、可控的知识处理方法。在这一背景下,OpenKG组织新KG视点系列文章...
While existing methods typically focus either on training KGE models solely based on graph structure or fine-tuning pre-trained language models with classification data in KG, KG-FIT leverages LLM-guided refinement to construct a semantically coherent hierarchical structure of entity clusters. By ...
LLM validation via reliable/credible KG data Submission guidelines: Authors are invited to submit original and unpublished papers. All submissions will be peer-reviewed and judged on originality, significance, quality, and relevance to the special issue topics of interest. Submitted papers should not ...
The rapid advancement of Large Language Models (LLMs) and conversational assistants necessitates dynamic, scalable, and configurable conversational datasets for training and evaluation. These datasets must accommodate diverse user interaction modes, including text and voice, each presenting unique modeling ...
导读知识图谱和大型语言模型都是用来表示和处理知识的手段。大模型补足了理解语言的能力,知识图谱则丰富了表示知识的方式,两者的深度结合必将为人工智能提供更为全面、可靠、可控的知识处理方法。在这一背景下,OpenKG组织新KG视点系列文章——“大模型专辑”,不定期邀请业内专家对知识图谱与大模型的融合之道展开深入探讨...
In this work, we propose KG-Rank, a framework that integrates a structured medical knowledge graph, into existing pre-trained LLMs to achieve more accurate medical question-answering (QA). We first retrieve one-hop relations of related medical entities from a reliable medical KG, the Unified Me...