Imagen de Portada

Enhancing Exploratory Learning through Exploratory Search with the Emergence of Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Luo, Yiming, Pang, Patrick Cheong-Iao, Chang, Shanton
Formato:	Preprint
Publicado:	2024
Materias:	Information Retrieval Artificial Intelligence Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Enhanced Bloom's Educational Taxonomy for Fostering Information Literacy in the Era of Large Language Models
por: Luo, Yiming, et al.
Publicado: (2025)

Knowledge Navigator: LLM-guided Browsing Framework for Exploratory Search in Scientific Literature
por: Katz, Uri, et al.
Publicado: (2024)

Search-o1: Agentic Search-Enhanced Large Reasoning Models
por: Li, Xiaoxi, et al.
Publicado: (2025)

CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models
por: Gong, Peiyuan, et al.
Publicado: (2024)

LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models
por: Yang, Hang, et al.
Publicado: (2024)

DeepRead: Document Structure-Aware Reasoning to Enhance Agentic Search
por: Li, Zhanli, et al.
Publicado: (2026)

Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents
por: Yang, Tiannuo, et al.
Publicado: (2025)

Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising
por: Liu, Zhenhui, et al.
Publicado: (2025)

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
por: Xu, Shicheng, et al.
Publicado: (2024)

List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
por: Xu, Shicheng, et al.
Publicado: (2024)

Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models
por: AlMahri, Sara, et al.
Publicado: (2024)

Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning
por: Liu, Yutian, et al.
Publicado: (2025)

Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models
por: Jiang, Feihu, et al.
Publicado: (2024)

Think Before You Retrieve: Learning Test-Time Adaptive Search with Small Language Models
por: Vijay, Supriti, et al.
Publicado: (2025)

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

Towards Enhancing Linked Data Retrieval in Conversational UIs using Large Language Models
por: Mussa, Omar, et al.
Publicado: (2024)

Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
por: Jeong, Minbyul, et al.
Publicado: (2024)

TaoSR1: The Thinking Model for E-commerce Relevance Search
por: Dong, Chenhe, et al.
Publicado: (2025)

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
por: Yang, Jianhui, et al.
Publicado: (2025)

In-context Learning with Retrieved Demonstrations for Language Models: A Survey
por: Luo, Man, et al.
Publicado: (2024)

Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph
por: Zhao, Qian, et al.
Publicado: (2024)

LLM-Rec: Personalized Recommendation via Prompting Large Language Models
por: Lyu, Hanjia, et al.
Publicado: (2023)

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
por: Zhang, Qinggang, et al.
Publicado: (2025)

Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering
por: Wang, Yuqi, et al.
Publicado: (2024)

Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models
por: Tian, Yuxing, et al.
Publicado: (2026)

Fine-tuning Small Language Models as Efficient Enterprise Search Relevance Labelers
por: Kang, Yue, et al.
Publicado: (2026)

Conversational Exploratory Search of Scholarly Publications Using Knowledge Graphs
por: Schneider, Phillip, et al.
Publicado: (2024)

OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework
por: Chen, Ben, et al.
Publicado: (2026)

Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing
por: Yang, Diji, et al.
Publicado: (2025)

On the Capacity of Citation Generation by Large Language Models
por: Qian, Haosheng, et al.
Publicado: (2024)

XRec: Large Language Models for Explainable Recommendation
por: Ma, Qiyao, et al.
Publicado: (2024)

Large Language Models as Narrative-Driven Recommenders
por: Eberhard, Lukas, et al.
Publicado: (2024)

Benchmarking Prompt Sensitivity in Large Language Models
por: Razavi, Amirhossein, et al.
Publicado: (2025)

Enriching Taxonomies Using Large Language Models
por: Ghamlouch, Zeinab, et al.
Publicado: (2025)

Inducing Sustained Creativity and Diversity in Large Language Models
por: Luo, Queenie, et al.
Publicado: (2026)

Docs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language Models
por: Sun, Qiang, et al.
Publicado: (2024)

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models
por: Wei, Qikai, et al.
Publicado: (2025)

Lab-AI: Using Retrieval Augmentation to Enhance Language Models for Personalized Lab Test Interpretation in Clinical Medicine
por: Wang, Xiaoyu, et al.
Publicado: (2024)

Controlling Output Rankings in Generative Engines for LLM-based Search
por: Jin, Haibo, et al.
Publicado: (2026)

PMG : Personalized Multimodal Generation with Large Language Models
por: Shen, Xiaoteng, et al.
Publicado: (2024)