Buchumschlag

IQLS: Framework for leveraging Metadata to enable Large Language Model based queries to complex, versatile Data

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Azirar, Sami, Gabbar, Hossam A., Regoui, Chaouki
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Information Retrieval Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Metadata Extraction Leveraging Large Language Models
von: Han, Cuize, et al.
Veröffentlicht: (2025)

Paper2Data: Large-Scale LLM Extraction and Metadata Structuring of Global Urban Data from Scientific Literature
von: You, Runwen, et al.
Veröffentlicht: (2026)

Use of a Structured Knowledge Base Enhances Metadata Curation by Large Language Models
von: Sundaram, Sowmya S., et al.
Veröffentlicht: (2024)

An Automatic Graph Construction Framework based on Large Language Models for Recommendation
von: Shan, Rong, et al.
Veröffentlicht: (2024)

AMAQA: A Metadata-based QA Dataset for RAG Systems
von: Bruni, Davide, et al.
Veröffentlicht: (2025)

Exploring LLM Capabilities in Extracting DCAT-Compatible Metadata for Data Cataloging
von: Busch, Lennart, et al.
Veröffentlicht: (2025)

CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
von: Chen, Junze, et al.
Veröffentlicht: (2025)

Do Agents Need Semantic Metadata? A Comparative Study in Agentic Data Retrieval
von: Chen, Shiyu, et al.
Veröffentlicht: (2026)

Enhancing ID-based Recommendation with Large Language Models
von: Chen, Lei, et al.
Veröffentlicht: (2024)

Beyond the limitation of a single query: Train your LLM for query expansion with Reinforcement Learning
von: Zhao, Shu, et al.
Veröffentlicht: (2025)

User Behavior Simulation with Large Language Model based Agents
von: Wang, Lei, et al.
Veröffentlicht: (2023)

Data Imputation using Large Language Model to Accelerate Recommendation System
von: Ding, Zhicheng, et al.
Veröffentlicht: (2024)

An Agent Framework for Real-Time Financial Information Searching with Large Language Models
von: Li, Jinzheng, et al.
Veröffentlicht: (2024)

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization
von: Sundaram, Sowmya S, et al.
Veröffentlicht: (2025)

A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System
von: Deldjoo, Yashar, et al.
Veröffentlicht: (2024)

AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models
von: Zhang, Tong
Veröffentlicht: (2025)

Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
von: Xia, Yu, et al.
Veröffentlicht: (2025)

Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation
von: Su, Jiajie, et al.
Veröffentlicht: (2025)

A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model
von: Xiang, Ao, et al.
Veröffentlicht: (2024)

LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering
von: Severin, Nikita, et al.
Veröffentlicht: (2024)

Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation
von: Qiao, Shutong, et al.
Veröffentlicht: (2024)

PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models
von: Liu, Yu, et al.
Veröffentlicht: (2025)

An item is worth one token in Multimodal Large Language Models-based Sequential Recommendation
von: Zhong, Qiyong, et al.
Veröffentlicht: (2025)

DALDALL: Data Augmentation for Lexical and Semantic Diverse in Legal Domain by leveraging LLM-Persona
von: Choi, Janghyeok, et al.
Veröffentlicht: (2026)

Tool Graph Retriever: Exploring Dependency Graph-based Tool Retrieval for Large Language Models
von: Gao, Linfeng, et al.
Veröffentlicht: (2025)

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
von: Cai, Rui, et al.
Veröffentlicht: (2025)

Membership Inference Attack against Large Language Model-based Recommendation Systems: A New Distillation-based Paradigm
von: Cuihong, Li, et al.
Veröffentlicht: (2025)

A Generative AI-driven Metadata Modelling Approach
von: Bagchi, Mayukh
Veröffentlicht: (2024)

Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
von: Kim, Sein, et al.
Veröffentlicht: (2024)

A Survey on Large Language Models for Recommendation
von: Wu, Likang, et al.
Veröffentlicht: (2023)

On-Device Large Language Models for Sequential Recommendation
von: Xia, Xin, et al.
Veröffentlicht: (2026)

Representation Learning with Large Language Models for Recommendation
von: Ren, Xubin, et al.
Veröffentlicht: (2023)

Document Attribution: Examining Citation Relationships using Large Language Models
von: Rawte, Vipula, et al.
Veröffentlicht: (2025)

Lessons from A Large Language Model-based Outdoor Trail Recommendation Chatbot with Retrieval Augmented Generation
von: Mathew, Julia Ann, et al.
Veröffentlicht: (2025)

Unlocking the Potential of Large Language Models for Explainable Recommendations
von: Luo, Yucong, et al.
Veröffentlicht: (2023)

LIBER: Lifelong User Behavior Modeling Based on Large Language Models
von: Zhu, Chenxu, et al.
Veröffentlicht: (2024)

RecExplainer: Aligning Large Language Models for Explaining Recommendation Models
von: Lei, Yuxuan, et al.
Veröffentlicht: (2023)

A large collection of bioinformatics question-query pairs over federated knowledge graphs: methodology and applications
von: Bolleman, Jerven, et al.
Veröffentlicht: (2024)

Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models
von: Huang, Chengkai, et al.
Veröffentlicht: (2025)

Modeling User Viewing Flow Using Large Language Models for Article Recommendation
von: Liu, Zhenghao, et al.
Veröffentlicht: (2023)