Copertina

Revisiting RAG Ensemble: A Theoretical and Mechanistic Analysis of Multi-RAG System Collaboration

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Yifei, Dong, Guanting, Zhu, Yutao, Dou, Zhicheng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning
di: Chen, Yifei, et al.
Pubblicazione: (2025)

ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration
di: Chen, Yifei, et al.
Pubblicazione: (2026)

ToolScope: An Agentic Framework for Vision-Guided and Long-Horizon Tool Use
di: Deng, Mengjie, et al.
Pubblicazione: (2025)

SmartSearch: Process Reward-Guided Query Refinement for Search Agents
di: Wen, Tongyu, et al.
Pubblicazione: (2026)

Revisiting RAG Retrievers: An Information Theoretic Benchmark
di: Zheng, Wenqing, et al.
Pubblicazione: (2026)

EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
di: Song, Xiaoshuai, et al.
Pubblicazione: (2026)

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
di: Dong, Guanting, et al.
Pubblicazione: (2024)

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
di: Dong, Guanting, et al.
Pubblicazione: (2025)

Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation
di: Zhang, Chenghao, et al.
Pubblicazione: (2026)

ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
di: Wang, Zhao, et al.
Pubblicazione: (2026)

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
di: Dong, Guanting, et al.
Pubblicazione: (2024)

AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant
di: Zhou, Yujia, et al.
Pubblicazione: (2024)

Progressive Multimodal Reasoning via Active Retrieval
di: Dong, Guanting, et al.
Pubblicazione: (2024)

A Multi-Source Retrieval Question Answering Framework Based on RAG
di: Wu, Ridong, et al.
Pubblicazione: (2024)

HiRA: A Hierarchical Reasoning Framework for Decoupled Planning and Execution in Deep Search
di: Jin, Jiajie, et al.
Pubblicazione: (2025)

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

Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
di: Zhang, Chenghao, et al.
Pubblicazione: (2025)

WebThinker: Empowering Large Reasoning Models with Deep Research Capability
di: Li, Xiaoxi, et al.
Pubblicazione: (2025)

DMQR-RAG: Diverse Multi-Query Rewriting for RAG
di: Li, Zhicong, et al.
Pubblicazione: (2024)

ATIR: Towards Audio-Text Interleaved Contextual Retrieval
di: Zhao, Tong, et al.
Pubblicazione: (2026)

HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks
di: Qian, Hongjin, et al.
Pubblicazione: (2025)

MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation
di: Qian, Hongjin, et al.
Pubblicazione: (2024)

NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
di: Xu, Tianyang, et al.
Pubblicazione: (2025)

HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
di: Luo, Haoran, et al.
Pubblicazione: (2025)

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems
di: Fan, Dongzhe, et al.
Pubblicazione: (2026)

DuetRAG: Collaborative Retrieval-Augmented Generation
di: Jiao, Dian, et al.
Pubblicazione: (2024)

RAG-Anything: All-in-One RAG Framework
di: Guo, Zirui, et al.
Pubblicazione: (2025)

PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization
di: Wu, Jiayi, et al.
Pubblicazione: (2024)

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
di: Li, Yangning, et al.
Pubblicazione: (2025)

E^2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness
di: Zhao, Yibo, et al.
Pubblicazione: (2025)

MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAG
di: Wu, Pingyu, et al.
Pubblicazione: (2025)

Knowledge-Graph Based RAG System Evaluation Framework
di: Dong, Sicheng, et al.
Pubblicazione: (2025)

RAG-Enhanced Collaborative LLM Agents for Drug Discovery
di: Lee, Namkyeong, et al.
Pubblicazione: (2025)

Memory Matters More: Event-Centric Memory as a Logic Map for Agent Searching and Reasoning
di: Hu, Yuyang, et al.
Pubblicazione: (2026)

BRIGHT+: Upgrading the BRIGHT Benchmark with MARCUS, a Multi-Agent RAG Clean-Up Suite
di: Chen, Liyang, et al.
Pubblicazione: (2025)

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation
di: Yao, Ruobing, et al.
Pubblicazione: (2025)

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities
di: Markondapatnaikuni, Hruday, et al.
Pubblicazione: (2025)

RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition
di: Cofala, Tim, et al.
Pubblicazione: (2025)

Towards Hyper-Efficient RAG Systems in VecDBs: Distributed Parallel Multi-Resolution Vector Search
di: Liu, Dong, et al.
Pubblicazione: (2025)

CARE-RAG - Clinical Assessment and Reasoning in RAG
di: Potluri, Deepthi, et al.
Pubblicazione: (2025)