Imagen de Portada

Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yang, Rui, Yang, Boming, Ouyang, Sixun, She, Tianwei, Feng, Aosong, Jiang, Yuang, Lecue, Freddy, Lu, Jinghui, Li, Irene
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective
por: Yang, Rui, et al.
Publicado: (2024)

Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education
por: Yang, Rui, et al.
Publicado: (2024)

Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts
por: Gao, Fan, et al.
Publicado: (2023)

HealthGenie: Empowering Users with Healthy Dietary Guidance through Knowledge Graph and Large Language Models
por: Gao, Fan, et al.
Publicado: (2025)

Better Explain Transformers by Illuminating Important Information
por: Song, Linxin, et al.
Publicado: (2024)

NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM
por: Lan, Jiayin, et al.
Publicado: (2025)

Knowledge-Aware Neuron Interpretation for Scene Classification
por: Guan, Yong, et al.
Publicado: (2024)

Fine-Tuning Large Language Models for Educational Support: Leveraging Gagne's Nine Events of Instruction for Lesson Planning
por: Jia, Linzhao, et al.
Publicado: (2025)

MKG-Rank: Enhancing Large Language Models with Knowledge Graph for Multilingual Medical Question Answering
por: Li, Feiyang, et al.
Publicado: (2025)

From Chains to Graphs: Self-Structured Reasoning for General-Domain LLMs
por: Chen, Yingjian, et al.
Publicado: (2026)

Interpreting Language Reward Models via Contrastive Explanations
por: Jiang, Junqi, et al.
Publicado: (2024)

KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking
por: Zhang, Jiawei, et al.
Publicado: (2024)

Are Logistic Models Really Interpretable?
por: Dervovic, Danial, et al.
Publicado: (2024)

The Effect of Data Poisoning on Counterfactual Explanations
por: Artelt, André, et al.
Publicado: (2024)

AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data
por: Zhao, Xinjie, et al.
Publicado: (2024)

The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples
por: Hsu, Hsiang, et al.
Publicado: (2026)

Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective
por: Lavrinovics, Ernests, et al.
Publicado: (2024)

Advances in Biliary Disease Organoid Research: From Model Construction to Clinical Applications
por: Boming Peng, et al.
Publicado: (2025)

Automated HEMT Model Construction from Datasheets via Multi-Modal Intelligence and Prior-Knowledge-Free Optimization
por: Peng, Yuang, et al.
Publicado: (2025)

OntoMetric: An Ontology-Driven LLM-Assisted Framework for Automated ESG Metric Knowledge Graph Generation
por: Yu, Mingqin, et al.
Publicado: (2025)

Sparse Adapter Fusion for Continual Learning in NLP
por: Zeng, Min, et al.
Publicado: (2026)

Knowledge AI: Fine-tuning NLP Models for Facilitating Scientific Knowledge Extraction and Understanding
por: Muralidharan, Balaji, et al.
Publicado: (2024)

KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph
por: Guo, Tiezheng, et al.
Publicado: (2023)

Digital Cognitive Maps for Scientific Knowledge Construction in Initial Teacher Education
por: Alba Guiral
Publicado: (2023)

Quantifying Prediction Consistency Under Fine-Tuning Multiplicity in Tabular LLMs
por: Hamman, Faisal, et al.
Publicado: (2024)

Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models
por: Gu, Xiaojie, et al.
Publicado: (2026)

$\mathcal{X}$-KD: General Experiential Knowledge Distillation for Large Language Models
por: Cai, Yuang, et al.
Publicado: (2026)

From Text to Graph: Leveraging Graph Neural Networks for Enhanced Explainability in NLP
por: Yáñez-Romero, Fabio, et al.
Publicado: (2025)

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery
por: She, Fengyu, et al.
Publicado: (2025)

Fractal structure of Christ-Lee model
por: Zhang, Boming, et al.
Publicado: (2025)

Efficient Title Reranker for Fast and Improved Knowledge-Intense NLP
por: Chen, Ziyi, et al.
Publicado: (2023)

From Patient Consultations to Graphs: Leveraging LLMs for Patient Journey Knowledge Graph Construction
por: Khatib, Hassan S. Al, et al.
Publicado: (2025)

Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards
por: Şahinuç, Furkan, et al.
Publicado: (2024)

Leveraging Large Language Models for Enhanced NLP Task Performance through Knowledge Distillation and Optimized Training Strategies
por: Huang, Yining, et al.
Publicado: (2024)

DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
por: Zhang, Jiasheng, et al.
Publicado: (2024)

Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks
por: Wei, Yuang, et al.
Publicado: (2024)

An Optimized Pipeline for Automatic Educational Knowledge Graph Construction
por: Ain, Qurat Ul, et al.
Publicado: (2025)

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

AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots
por: Zhao, Xinjie, et al.
Publicado: (2025)

Leveraging Large Language Models for Solving Rare MIP Challenges
por: Wang, Teng, et al.
Publicado: (2024)