Cover Image

Knowledge Graph Fusion with Large Language Models for Accurate, Explainable Manufacturing Process Planning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hoang, Danny, Gorsich, David, Castanier, Matthew P., Imani, Farhad
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Graph-Structured Hyperdimensional Computing for Data-Efficient and Explainable Process-Structure-Property Prediction
by: Ge, Jingzhan, et al.
Published: (2026)

Physics-Grounded Multi-Agent Architecture for Traceable, Risk-Aware Human-AI Decision Support in Manufacturing
by: Hoang, Danny, et al.
Published: (2026)

Hyperdimensional Computing for Sustainable Manufacturing: An Initial Assessment
by: Hoang, Danny, et al.
Published: (2025)

Large Language Models for Extrapolative Modeling of Manufacturing Processes
by: Khanghah, Kiarash Naghavi, et al.
Published: (2025)

Task-Aware Scanning Parameter Configuration for Robotic Inspection Using Vision Language Embeddings and Hyperdimensional Computing
by: Chen, Zhiling, et al.
Published: (2026)

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
by: Wang, Junjie, et al.
Published: (2024)

Tokenization, Fusion and Decoupling: Bridging the Granularity Mismatch Between Large Language Models and Knowledge Graphs
by: Su, Siyue, et al.
Published: (2026)

Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education
by: Yang, Rui, et al.
Published: (2024)

Large Language Models for Manufacturing
by: Li, Yiwei, et al.
Published: (2024)

Combining Knowledge Graphs and Large Language Models
by: Kau, Amanda, et al.
Published: (2024)

KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion
by: Wei, Yanbin, et al.
Published: (2024)

BELL: Benchmarking the Explainability of Large Language Models
by: Ahmed, Syed Quiser, et al.
Published: (2025)

Exploring Large Language Models for Knowledge Graph Completion
by: Yao, Liang, et al.
Published: (2023)

$A^3$: Attention-Aware Accurate KV Cache Fusion for Fast Large Language Model Serving
by: Zhou, Yuechi, et al.
Published: (2025)

StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models
by: Bi, Baolong, et al.
Published: (2024)

Large Language Models for Knowledge Graph Embedding: A Survey
by: Liu, Bingchen, et al.
Published: (2025)

Unifying Large Language Models and Knowledge Graphs: A Roadmap
by: Pan, Shirui, et al.
Published: (2023)

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
by: Zhang, Yifei, et al.
Published: (2024)

Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
by: Gao, Yanjun, et al.
Published: (2023)

Architectural Fusion Through Contextual Partitioning in Large Language Models: A Novel Approach to Parameterized Knowledge Integration
by: Kingsleigh, Offa, et al.
Published: (2025)

Knowledge Bases in Support of Large Language Models for Processing Web News
by: Zhang, Yihe, et al.
Published: (2024)

Bridging Domain Knowledge and Process Discovery Using Large Language Models
by: Norouzifar, Ali, et al.
Published: (2024)

Ontology-Enhanced Knowledge Graph Completion using Large Language Models
by: Guo, Wenbin, et al.
Published: (2025)

KnowGPT: Knowledge Graph based Prompting for Large Language Models
by: Zhang, Qinggang, et al.
Published: (2023)

Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge Graphs
by: Huang, Yuxuan
Published: (2023)

Contextualization Distillation from Large Language Model for Knowledge Graph Completion
by: Li, Dawei, et al.
Published: (2024)

Knowledge Graph-Enhanced Large Language Models via Path Selection
by: Liu, Haochen, et al.
Published: (2024)

Research Trends for the Interplay between Large Language Models and Knowledge Graphs
by: Khorashadizadeh, Hanieh, et al.
Published: (2024)

Evaluating the External and Parametric Knowledge Fusion of Large Language Models
by: Zhang, Hao, et al.
Published: (2024)

Framework for Progressive Knowledge Fusion in Large Language Models Through Structured Conceptual Redundancy Analysis
by: Sakau, Joseph, et al.
Published: (2025)

Misinformation Detection using Large Language Models with Explainability
by: Patel, Jainee, et al.
Published: (2025)

Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
by: Yang, Linyao, et al.
Published: (2023)

Customized Information and Domain-centric Knowledge Graph Construction with Large Language Models
by: Wawrzik, Frank, et al.
Published: (2024)

LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs
by: Chen, Xuan, et al.
Published: (2024)

Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
by: Wang, Jiapu, et al.
Published: (2024)

Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion
by: Liu, Yang, et al.
Published: (2024)

Knowledge Fusion of Large Language Models Via Modular SkillPacks
by: Du, Guodong, et al.
Published: (2025)

Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning
by: Zhuo, Xingrui, et al.
Published: (2025)

KIF: Knowledge Identification and Fusion for Language Model Continual Learning
by: Feng, Yujie, et al.
Published: (2024)

Plato: Plan to Efficiently Decode for Large Language Model Inference
by: Jin, Shuowei, et al.
Published: (2024)