Imagen de Portada

Large language models as oracles for instantiating ontologies with domain-specific knowledge

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ciatto, Giovanni, Agiollo, Andrea, Magnini, Matteo, Omicini, Andrea
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence Computation and Language Information Retrieval Machine Learning Logic in Computer Science
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
por: Ciatto, Giovanni, et al.
Publicado: (2025)

VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records
por: Chung, Philip, et al.
Publicado: (2025)

Graph-Native Cognitive Memory for AI Agents: Formal Belief Revision Semantics for Versioned Memory Architectures
por: Park, Young Bin
Publicado: (2026)

Large language models can accurately predict searcher preferences
por: Thomas, Paul, et al.
Publicado: (2023)

Ontological foundations for contrastive explanatory narration of robot plans
por: Olivares-Alarcos, Alberto, et al.
Publicado: (2025)

Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!
por: Allemang, Dean, et al.
Publicado: (2024)

Benchmarking large language models for biomedical natural language processing applications and recommendations
por: Chen, Qingyu, et al.
Publicado: (2023)

da Costa and Tarski meet Goguen and Carnap: a novel approach for ontological heterogeneity based on consequence systems
por: Rocha, Gabriel
Publicado: (2026)

Mathematics with large language models as provers and verifiers
por: Duc, Hieu Le, et al.
Publicado: (2025)

Benchmarking Large Language Models on Reference Extraction and Parsing in the Social Sciences and Humanities
por: Zhu, Yurui, et al.
Publicado: (2026)

Complex QA and language models hybrid architectures, Survey
por: Daull, Xavier, et al.
Publicado: (2023)

LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge
por: Mitra, Shaswata, et al.
Publicado: (2024)

Large language models streamline automated systematic review: A preliminary study
por: Chen, Xi, et al.
Publicado: (2025)

Generalized knowledge-enhanced framework for biomedical entity and relation extraction
por: Nguyen, Minh, et al.
Publicado: (2024)

Retrieval Augmented Generation for Domain-specific Question Answering
por: Sharma, Sanat, et al.
Publicado: (2024)

Optimizing Large Language Models for ESG Activity Detection in Financial Texts
por: Birti, Mattia, et al.
Publicado: (2025)

A Semantic Search Engine for Mathlib4
por: Gao, Guoxiong, et al.
Publicado: (2024)

AfroXLMR-Comet: Multilingual Knowledge Distillation with Attention Matching for Low-Resource languages
por: Raju, Joshua Sakthivel, et al.
Publicado: (2025)

Bringing order into the realm of Transformer-based language models for artificial intelligence and law
por: Greco, Candida M., et al.
Publicado: (2023)

W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering
por: Nian, Jinming, et al.
Publicado: (2024)

Answering real-world clinical questions using large language model based systems
por: Low, Yen Sia, et al.
Publicado: (2024)

Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance
por: Brei, Felix, et al.
Publicado: (2024)

A systematic review of geospatial location embedding approaches in large language models: A path to spatial AI systems
por: Tucker, Sean
Publicado: (2024)

Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation
por: Hu, Tianyi, et al.
Publicado: (2025)

OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
por: Maharjan, Jenish, et al.
Publicado: (2024)

The Factuality of Large Language Models in the Legal Domain
por: Hamdani, Rajaa El, et al.
Publicado: (2024)

On Bilingual Lexicon Induction with Large Language Models
por: Li, Yaoyiran, et al.
Publicado: (2023)

LORE: A Large Generative Model for Search Relevance
por: Lu, Chenji, et al.
Publicado: (2025)

Graph-based Confidence Calibration for Large Language Models
por: Li, Yukun, et al.
Publicado: (2024)

Retrieval meets Long Context Large Language Models
por: Xu, Peng, et al.
Publicado: (2023)

Uncertainty-Aware Explainable Recommendation with Large Language Models
por: Peng, Yicui, et al.
Publicado: (2024)

JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models
por: Chen, Michael K., et al.
Publicado: (2025)

NanoNER: Named Entity Recognition for nanobiology using experts' knowledge and distant supervision
por: Lentschat, Martin, et al.
Publicado: (2024)

Small Encoders Can Rival Large Decoders in Detecting Groundedness
por: Abbes, Istabrak, et al.
Publicado: (2025)

PaCE: Parsimonious Concept Engineering for Large Language Models
por: Luo, Jinqi, et al.
Publicado: (2024)

News Recommendation with Category Description by a Large Language Model
por: Yada, Yuki, et al.
Publicado: (2024)

GenRec: Generative Sequential Recommendation with Large Language Models
por: Cao, Panfeng, et al.
Publicado: (2024)

Large Language Models are Learnable Planners for Long-Term Recommendation
por: Shi, Wentao, et al.
Publicado: (2024)

Delta Activations: A Representation for Finetuned Large Language Models
por: Xu, Zhiqiu, et al.
Publicado: (2025)

OpenSanctions Pairs: Large-Scale Entity Matching with LLMs
por: Smith, Chandler, et al.
Publicado: (2026)