When large language models meet personalization: Perspectives of challenges and opportunities
The advent of large language models marks a revolutionary breakthrough in artificial
intelligence. With the unprecedented scale of training and model parameters, the capability …
intelligence. With the unprecedented scale of training and model parameters, the capability …
Knowledge graph-based manufacturing process planning: A state-of-the-art review
Y Xiao, S Zheng, J Shi, X Du, J Hong - Journal of Manufacturing Systems, 2023 - Elsevier
Computer-aided process planning is the bridge between computer-aided design and
computer-aided manufacturing. With the advent of the intelligent manufacturing era, process …
computer-aided manufacturing. With the advent of the intelligent manufacturing era, process …
Unifying large language models and knowledge graphs: A roadmap
Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the
field of natural language processing and artificial intelligence, due to their emergent ability …
field of natural language processing and artificial intelligence, due to their emergent ability …
[PDF][PDF] Natural language is all a graph needs
The emergence of large-scale pre-trained language models, such as ChatGPT, has
revolutionized various research fields in artificial intelligence. Transformersbased large …
revolutionized various research fields in artificial intelligence. Transformersbased large …
AI-enabled ChatGPT or LLM: a new algorithm is required for plagiarism-free scientific writing
A recent article by Shafiee demonstrated the use of ChatGPT for scientific writing, especially
the writing of a research paper [1]. Several other researchers have also informed ChatGPT's …
the writing of a research paper [1]. Several other researchers have also informed ChatGPT's …
Grapheval: A knowledge-graph based llm hallucination evaluation framework
H Sansford, N Richardson, HP Maretic… - arXiv preprint arXiv …, 2024 - arxiv.org
Methods to evaluate Large Language Model (LLM) responses and detect inconsistencies,
also known as hallucinations, with respect to the provided knowledge, are becoming …
also known as hallucinations, with respect to the provided knowledge, are becoming …
Actionable Cyber Threat Intelligence using Knowledge Graphs and Large Language Models
Cyber threats are constantly evolving. Extracting actionable insights from unstructured Cyber
Threat Intelligence (CTI) data is essential to guide cybersecurity decisions. Increasingly …
Threat Intelligence (CTI) data is essential to guide cybersecurity decisions. Increasingly …
Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge
J Delile, S Mukherjee, A Van Pamel… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) are transforming the way information is retrieved with vast
amounts of knowledge being summarized and presented via natural language …
amounts of knowledge being summarized and presented via natural language …
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph
Abstract Knowledge graphs (KGs) play a pivotal role in knowledge-intensive tasks across
specialized domains, where the acquisition of precise and dependable knowledge is crucial …
specialized domains, where the acquisition of precise and dependable knowledge is crucial …