When large language models meet personalization: Perspectives of challenges and opportunities

J Chen, Z Liu, X Huang, C Wu, Q Liu, G Jiang, Y Pu… - World Wide Web, 2024 - Springer
The advent of large language models marks a revolutionary breakthrough in artificial
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 …

Unifying large language models and knowledge graphs: A roadmap

S Pan, L Luo, Y Wang, C Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

[PDF][PDF] Natural language is all a graph needs

R Ye, C Zhang, R Wang, S Xu, Y Zhang - arXiv preprint arXiv …, 2023 - yongfeng.me
The emergence of large-scale pre-trained language models, such as ChatGPT, has
revolutionized various research fields in artificial intelligence. Transformersbased large …

Language is all a graph needs

R Ye, C Zhang, R Wang, S Xu… - Findings of the …, 2024 - aclanthology.org
The emergence of large-scale pre-trained language models has revolutionized various AI
research domains. Transformers-based Large Language Models (LLMs) have gradually …

AI-enabled ChatGPT or LLM: a new algorithm is required for plagiarism-free scientific writing

S Pal, M Bhattacharya, MA Islam… - International Journal of …, 2024 - journals.lww.com
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 …

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 …

Actionable Cyber Threat Intelligence using Knowledge Graphs and Large Language Models

R Fieblinger, MT Alam, N Rastogi - 2024 IEEE European …, 2024 - ieeexplore.ieee.org
Cyber threats are constantly evolving. Extracting actionable insights from unstructured Cyber
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 …

SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph

H Chen, X Shen, Q Lv, J Wang, X Ni… - Proceedings of the 62nd …, 2024 - aclanthology.org
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 …