Imagen de Portada

LLMpedia: A Transparent Framework to Materialize an LLM's Encyclopedic Knowledge at Scale

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Saeed, Muhammed, Razniewski, Simon
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language Databases
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Enabling LLM Knowledge Analysis via Extensive Materialization
por: Hu, Yujia, et al.
Publicado: (2024)

Foundations of LLM Knowledge Materialization: Termination, Reproducibility, Robustness
por: Giordano, Luca, et al.
Publicado: (2025)

T-KAER: Transparency-enhanced Knowledge-Augmented Entity Resolution Framework
por: Li, Lan, et al.
Publicado: (2024)

Comprehensive Evaluation for a Large Scale Knowledge Graph Question Answering Service
por: Potdar, Saloni, et al.
Publicado: (2025)

The Semantic Ladder: A Framework for Progressive Formalization of Natural Language Content for Knowledge Graphs and AI Systems
por: Vogt, Lars
Publicado: (2026)

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework
por: Wu, Yanchen, et al.
Publicado: (2026)

Does Self-Consistency Improve the Recall of Encyclopedic Knowledge?
por: Hoshino, Sho, et al.
Publicado: (2026)

GPTKB v1.5: A Massive Knowledge Base for Exploring Factual LLM Knowledge
por: Hu, Yujia, et al.
Publicado: (2025)

LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT
por: Meyer, Lars-Peter, et al.
Publicado: (2023)

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

Cultural Commonsense Knowledge for Intercultural Dialogues
por: Nguyen, Tuan-Phong, et al.
Publicado: (2024)

Agentar-Scale-SQL: Advancing Text-to-SQL through Orchestrated Test-Time Scaling
por: Wang, Pengfei, et al.
Publicado: (2025)

Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs
por: Abdallah, Hussein, et al.
Publicado: (2026)

From Tokens to Materials: Leveraging Language Models for Scientific Discovery
por: Wan, Yuwei, et al.
Publicado: (2024)

CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era
por: Feng, Yanlin, et al.
Publicado: (2024)

$R^3$-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL
por: Zhou, Yuhang, et al.
Publicado: (2023)

SQLStructEval: Structural Evaluation of LLM Text-to-SQL Generation
por: Zhou, Yixi, et al.
Publicado: (2026)

ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement
por: Hong, Zijin, et al.
Publicado: (2026)

LLM-SQL-Solver: Can LLMs Determine SQL Equivalence?
por: Zhao, Fuheng, et al.
Publicado: (2023)

OmniRouter: Budget and Performance Controllable Multi-LLM Routing
por: Mei, Kai, et al.
Publicado: (2025)

An LLM Agent-Based Complex Semantic Table Annotation Approach
por: Geng, Yilin, et al.
Publicado: (2025)

KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrieval
por: Bui, Chi Minh, et al.
Publicado: (2025)

V-SQL: A View-based Two-stage Text-to-SQL Framework
por: You, Zeshun, et al.
Publicado: (2024)

StorageXTuner: An LLM Agent-Driven Automatic Tuning Framework for Heterogeneous Storage Systems
por: Lin, Qi, et al.
Publicado: (2025)

OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale
por: Li, Haoyang, et al.
Publicado: (2025)

How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities
por: Kassem, Aly M., et al.
Publicado: (2025)

LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency
por: Li, Zhaodonghui, et al.
Publicado: (2024)

HyperJoin: LLM-augmented Hypergraph Link Prediction for Joinable Table Discovery
por: Liu, Shiyuan, et al.
Publicado: (2026)

Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation
por: Yuan, Zheng, et al.
Publicado: (2025)

PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks
por: Berti, Alessandro, et al.
Publicado: (2024)

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark
por: Li, Lan, et al.
Publicado: (2024)

Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL
por: Zhong, Qihuang, et al.
Publicado: (2024)

Text2SQL-Flow: A Robust SQL-Aware Data Augmentation Framework for Text-to-SQL
por: Cai, Qifeng, et al.
Publicado: (2025)

AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale
por: Wang, Ziyang, et al.
Publicado: (2025)

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement
por: Wang, Jiaqian, et al.
Publicado: (2026)

Rethinking Agentic Workflows: Evaluating Inference-Based Test-Time Scaling Strategies in Text2SQL Tasks
por: Guo, Jiajing, et al.
Publicado: (2025)

Replacing Multi-Step Assembly of Data Preparation Pipelines with One-Step LLM Pipeline Generation for Table QA
por: Li, Fengyu, et al.
Publicado: (2026)

Language and Knowledge Representation: A Stratified Approach
por: Bagchi, Mayukh
Publicado: (2025)

Beyond Questions: Evaluating What Large Language Models (Actually) Know
por: Giordano, Luca, et al.
Publicado: (2026)

Mining the Mind: What 100M Beliefs Reveal About Frontier LLM Knowledge
por: Ghosh, Shrestha, et al.
Publicado: (2025)