Imagen de Portada

UniRQR: A Unified Model for Retrieval Decision, Query, and Response Generation in Internet-Based Knowledge Dialogue Systems

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hu, Zhongtian, Chen, Yangqi, Zhao, Meng, Li, Ronghan, Wang, Lifang
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

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
por: Mo, Fengran, et al.
Publicado: (2025)

UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers
por: Min, Dehai, et al.
Publicado: (2024)

Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models
por: Cong, Youan, et al.
Publicado: (2024)

Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
por: Xia, Yu, et al.
Publicado: (2024)

Generative Multi-Modal Knowledge Retrieval with Large Language Models
por: Long, Xinwei, et al.
Publicado: (2024)

PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue
por: Oh, Minsik, et al.
Publicado: (2023)

QP-OneModel: A Unified Generative LLM for Multi-Task Query Understanding in Xiaohongshu Search
por: Huang, Jianzhao, et al.
Publicado: (2026)

Investigating Retrieval-Augmented Generation Systems on Unanswerable, Uncheatable, Realistic, Multi-hop Queries
por: Liu, Gabrielle Kaili-May, et al.
Publicado: (2025)

Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking
por: Jin, Haoxiang, et al.
Publicado: (2025)

Advancing Multi-Party Dialogue Framework with Speaker-ware Contrastive Learning
por: Hu, Zhongtian, et al.
Publicado: (2025)

Agent-UniRAG: A Trainable Open-Source LLM Agent Framework for Unified Retrieval-Augmented Generation Systems
por: Pham, Hoang, et al.
Publicado: (2025)

DRAMA: Unifying Data Retrieval and Analysis for Open-Domain Analytic Queries
por: Hu, Chuxuan, et al.
Publicado: (2025)

Backtracing: Retrieving the Cause of the Query
por: Wang, Rose E., et al.
Publicado: (2024)

Can MLLMs Generalize to Multi-Party dialog? Exploring Multilingual Response Generation in Complex Scenarios
por: Hu, Zhongtian, et al.
Publicado: (2025)

UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval
por: Wang, Hongru, et al.
Publicado: (2024)

NANOGPT: A Query-Driven Large Language Model Retrieval-Augmented Generation System for Nanotechnology Research
por: Chandrasekhar, Achuth, et al.
Publicado: (2025)

Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models
por: Carranza, Aldo Gael, et al.
Publicado: (2023)

Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation
por: Feng, Pengchao, et al.
Publicado: (2025)

Improving Tool Retrieval by Leveraging Large Language Models for Query Generation
por: Kachuee, Mohammad, 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)

Understanding Parametric Knowledge Injection in Retrieval-Augmented Generation
por: Tang, Minghao, et al.
Publicado: (2025)

Improving Document Retrieval Coherence for Semantically Equivalent Queries
por: Campese, Stefano, et al.
Publicado: (2025)

Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
por: Sawarkar, Kunal, et al.
Publicado: (2024)

LegalMALR:Multi-Agent Query Understanding and LLM-Based Reranking for Chinese Statute Retrieval
por: Li, Yunhan, et al.
Publicado: (2026)

STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals
por: Su, Weihang, et al.
Publicado: (2024)

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation
por: Ren, Ruiyang, et al.
Publicado: (2023)

Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue
por: Tran, Nhat, et al.
Publicado: (2024)

Enhancing Retrieval Processes for Language Generation with Augmented Queries
por: Ghali, Julien Pierre Edmond, et al.
Publicado: (2024)

WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation Integrating Web Search and Knowledge Graphs
por: Xie, Weijian, et al.
Publicado: (2024)

Summarization-Based Document IDs for Generative Retrieval with Language Models
por: Li, Haoxin, et al.
Publicado: (2023)

Can Synthetic Query Rewrites Capture User Intent Better than Humans in Retrieval-Augmented Generation?
por: Zheng, JiaYing, et al.
Publicado: (2025)

Query-Adaptive Semantic Chunking for Retrieval-Augmented Generation: A Dynamic Strategy with Contextual Window Expansion
por: Rastogi, Mudit
Publicado: (2026)

Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge
por: Delile, Julien, et al.
Publicado: (2024)

QABISAR: Query-Article Bipartite Interactions for Statutory Article Retrieval
por: Santosh, T. Y. S. S., et al.
Publicado: (2024)

Improving Retrieval in Sponsored Search by Leveraging Query Context Signals
por: Mohankumar, Akash Kumar, et al.
Publicado: (2024)

UniSearch: Rethinking Search System with a Unified Generative Architecture
por: Chen, Jiahui, et al.
Publicado: (2025)

MultiRAG: A Knowledge-guided Framework for Mitigating Hallucination in Multi-source Retrieval Augmented Generation
por: Wu, Wenlong, et al.
Publicado: (2025)

K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries
por: Raj, Kanak, et al.
Publicado: (2023)

IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search
por: Lupart, Simon, et al.
Publicado: (2024)

Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation
por: Tang, Minghao, et al.
Publicado: (2025)