Chatgpt is not enough: Enhancing large language models with knowledge graphs for fact-aware language modeling
Recently, ChatGPT, a representative large language model (LLM), has gained considerable
attention due to its powerful emergent abilities. Some researchers suggest that LLMs could …
attention due to its powerful emergent abilities. Some researchers suggest that LLMs could …
Give us the facts: Enhancing large language models with knowledge graphs for fact-aware language modeling
Recently, ChatGPT, a representative large language model (LLM), has gained considerable
attention. Due to their powerful emergent abilities, recent LLMs are considered as a possible …
attention. Due to their powerful emergent abilities, recent LLMs are considered as a possible …
Explainable generative ai (genxai): A survey, conceptualization, and research agenda
J Schneider - Artificial Intelligence Review, 2024 - Springer
Generative AI (GenAI) represents a shift from AI's ability to “recognize” to its ability to
“generate” solutions for a wide range of tasks. As generated solutions and applications grow …
“generate” solutions for a wide range of tasks. As generated solutions and applications grow …
Combining knowledge graphs and large language models
A Kau, X He, A Nambissan, A Astudillo, H Yin… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, Natural Language Processing (NLP) has played a significant role in various
Artificial Intelligence (AI) applications such as chatbots, text generation, and language …
Artificial Intelligence (AI) applications such as chatbots, text generation, and language …
Xai meets llms: A survey of the relation between explainable ai and large language models
In this survey, we address the key challenges in Large Language Models (LLM) research,
focusing on the importance of interpretability. Driven by increasing interest from AI and …
focusing on the importance of interpretability. Driven by increasing interest from AI and …
Retrieval In Decoder benefits generative models for explainable complex question answering
J Feng, Q Wang, H Qiu, L Liu - Neural Networks, 2025 - Elsevier
Abstract Large-scale Language Models (LLMs) utilizing the Chain-of-Thought prompting
demonstrate exceptional performance in a variety of tasks. However, the persistence of …
demonstrate exceptional performance in a variety of tasks. However, the persistence of …
Graph learning and its advancements on large language models: A holistic survey
Graph learning is a prevalent domain that endeavors to learn the intricate relationships
among nodes and the topological structure of graphs. Over the years, graph learning has …
among nodes and the topological structure of graphs. Over the years, graph learning has …
Large language models as faithful explainers
Large Language Models (LLMs) have recently become proficient in addressing complex
tasks by utilizing their rich internal knowledge and reasoning ability. Consequently, this …
tasks by utilizing their rich internal knowledge and reasoning ability. Consequently, this …
[PDF][PDF] 图模互补: 知识图谱与大模型融合综述
黄勃， 吴申奥， 王文广， 杨勇， 刘进， 张振华… - 武汉大学学报(理学 …, 2024 - xblx.whu.edu.cn
大模型(LLM) 的兴起在自然语言处理领域引起了广泛关注, 其涌现能力在各个垂直领域(如金融,
医疗, 教育等) 也取得一定进展. 然而, 大模型自身面临解释性不足, 知识实时性差 …
医疗, 教育等) 也取得一定进展. 然而, 大模型自身面临解释性不足, 知识实时性差 …
Are Large Language Models the New Interface for Data Pipelines?
ABSTRACT A Language Model is a term that encompasses various types of models
designed to understand and generate human communication. Large Language Models …
designed to understand and generate human communication. Large Language Models …