Imagen de Portada

Assessing LLMs Suitability for Knowledge Graph Completion

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Iga, Vasile Ionut Remus, Silaghi, Gheorghe Cosmin
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

KGiRAG: An Iterative GraphRAG Approach for Responding Sensemaking Queries
por: Iacob, Isabela, et al.
Publicado: (2026)

Caraman at SemEval-2026 Task 8: Three-Stage Multi-Turn Retrieval with Query Rewriting, Hybrid Search, and Cross-Encoder Reranking
por: Caraman, David-Maximilian, et al.
Publicado: (2026)

Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion
por: Luo, Ruilin, et al.
Publicado: (2024)

Assessing LLMs for Serendipity Discovery in Knowledge Graphs: A Case for Drug Repurposing
por: Wang, Mengying, et al.
Publicado: (2025)

CleanGraph: Human-in-the-loop Knowledge Graph Refinement and Completion
por: Bikaun, Tyler, et al.
Publicado: (2024)

Multi-level Shared Knowledge Guided Learning for Knowledge Graph Completion
por: Shan, Yongxue, et al.
Publicado: (2024)

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

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

Towards Semantically Enriched Embeddings for Knowledge Graph Completion
por: Alam, Mehwish, et al.
Publicado: (2023)

Progressive Knowledge Graph Completion
por: Li, Jiayi, et al.
Publicado: (2024)

Flow-Modulated Scoring for Semantic-Aware Knowledge Graph Completion
por: Li, Siyuan, et al.
Publicado: (2025)

On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education
por: Wendlinger, Lorenz, et al.
Publicado: (2024)

Can LLMs be Good Graph Judge for Knowledge Graph Construction?
por: Huang, Haoyu, et al.
Publicado: (2024)

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

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

Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning
por: Hua, Yin, et al.
Publicado: (2025)

AgREE: Agentic Reasoning for Knowledge Graph Completion on Emerging Entities
por: Zhao, Ruochen, et al.
Publicado: (2025)

Automated Assessment of Students' Code Comprehension using LLMs
por: Oli, Priti, et al.
Publicado: (2023)

Model-based Subsampling for Knowledge Graph Completion
por: Feng, Xincan, et al.
Publicado: (2023)

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

ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion
por: Guo, Wenbin, et al.
Publicado: (2023)

GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion
por: Xie, Qizhuo, et al.
Publicado: (2026)

Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context
por: Chen, Jianfang, et al.
Publicado: (2025)

DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains
por: Xiao, Yongkang, et al.
Publicado: (2025)

From Struggle (06-2024) to Mastery (02-2025) LLMs Conquer Advanced Algorithm Exams and Pave the Way for Editorial Generation
por: Dumitran, Adrian Marius, et al.
Publicado: (2025)

Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
por: Li, Muzhi, et al.
Publicado: (2024)

Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
por: Li, Muzhi, et al.
Publicado: (2024)

ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs
por: Sun, Lei, et al.
Publicado: (2024)

Efficient Relational Context Perception for Knowledge Graph Completion
por: Tu, Wenkai, et al.
Publicado: (2024)

Learning Granularity Representation for Temporal Knowledge Graph Completion
por: Zhang, Jinchuan, et al.
Publicado: (2024)

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning
por: Markovic, Vasilije, et al.
Publicado: (2025)

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

S$^2$DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
por: Ma, Tengfei, et al.
Publicado: (2024)

Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
por: Liu, Yu, et al.
Publicado: (2025)

KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models
por: Zheng, Zaiyi, et al.
Publicado: (2025)

SLiNT: Structure-aware Language Model with Injection and Contrastive Training for Knowledge Graph Completion
por: Yang, Mengxue, et al.
Publicado: (2025)

Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs
por: Lin, Xinyu, et al.
Publicado: (2024)

Detecting and Mitigating Bias in LLMs through Knowledge Graph-Augmented Training
por: Kumar, Rajeev, et al.
Publicado: (2025)

Lie to Me: Knowledge Graphs for Robust Hallucination Self-Detection in LLMs
por: Kale, Sahil, et al.
Publicado: (2025)

A Benchmark for the Detection of Metalinguistic Disagreements between LLMs and Knowledge Graphs
por: Allen, Bradley P., et al.
Publicado: (2025)