DMQR-RAG: Diverse Multi-Query Rewriting for RAG
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Zhicong, Wang, Jiahao, Jiang, Zhishu, Mao, Hangyu, Chen, Zhongxia, Du, Jiazhen, Zhang, Yuanxing, Zhang, Fuzheng, Zhang, Di, Liu, Yong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RaFe: Ranking Feedback Improves Query Rewriting for RAG
by: Mao, Shengyu, et al.
Published: (2024)
by: Mao, Shengyu, et al.
Published: (2024)
Masking or Mitigating? Deconstructing the Impact of Query Rewriting on Retriever Biases in RAG
by: Goyal, Agam, et al.
Published: (2026)
by: Goyal, Agam, et al.
Published: (2026)
FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG
by: Hong, Yubin, et al.
Published: (2025)
by: Hong, Yubin, et al.
Published: (2025)
Clue-RAG: Towards Accurate and Cost-Efficient Graph-based RAG via Multi-Partite Graph and Query-Driven Iterative Retrieval
by: Su, Yaodong, et al.
Published: (2025)
by: Su, Yaodong, et al.
Published: (2025)
M-RAG: Making RAG Faster, Stronger, and More Efficient
by: Xu, Sun, et al.
Published: (2026)
by: Xu, Sun, et al.
Published: (2026)
MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAG
by: Wu, Pingyu, et al.
Published: (2025)
by: Wu, Pingyu, et al.
Published: (2025)
PreQRAG -- Classify and Rewrite for Enhanced RAG
by: Martinez, Damian, et al.
Published: (2025)
by: Martinez, Damian, et al.
Published: (2025)
Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems
by: Fan, Dongzhe, et al.
Published: (2026)
by: Fan, Dongzhe, et al.
Published: (2026)
IterQR: An Iterative Framework for LLM-based Query Rewrite in e-Commercial Search System
by: Chen, Shangyu, et al.
Published: (2025)
by: Chen, Shangyu, et al.
Published: (2025)
ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources
by: Xia, Yikuan, et al.
Published: (2025)
by: Xia, Yikuan, et al.
Published: (2025)
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers
by: Zhang, Zhuocheng, et al.
Published: (2025)
by: Zhang, Zhuocheng, et al.
Published: (2025)
LERA: LLM-Enhanced RAG for Ad Auction in Generative Chatbots
by: Sun, Haoran, et al.
Published: (2026)
by: Sun, Haoran, et al.
Published: (2026)
HugRAG: Hierarchical Causal Knowledge Graph Design for RAG
by: Wang, Nengbo, et al.
Published: (2026)
by: Wang, Nengbo, et al.
Published: (2026)
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
by: Sawarkar, Kunal, et al.
Published: (2024)
by: Sawarkar, Kunal, et al.
Published: (2024)
TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework
by: Zhang, Chao, et al.
Published: (2025)
by: Zhang, Chao, et al.
Published: (2025)
KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG
by: Huang, Yiqian, et al.
Published: (2025)
by: Huang, Yiqian, et al.
Published: (2025)
TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems
by: Jiang, Xinke, et al.
Published: (2024)
by: Jiang, Xinke, et al.
Published: (2024)
HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers
by: Santra, Payel, et al.
Published: (2025)
by: Santra, Payel, et al.
Published: (2025)
SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG
by: Zhang, Xuechen, et al.
Published: (2025)
by: Zhang, Xuechen, et al.
Published: (2025)
VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering
by: Tai, Zhenghan, et al.
Published: (2025)
by: Tai, Zhenghan, et al.
Published: (2025)
TrustRAG: An Information Assistant with Retrieval Augmented Generation
by: Fan, Yixing, et al.
Published: (2025)
by: Fan, Yixing, et al.
Published: (2025)
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues
by: Yang, Diji, et al.
Published: (2024)
by: Yang, Diji, et al.
Published: (2024)
Deep GraphRAG: A Balanced Approach to Hierarchical Retrieval and Adaptive Integration
by: Li, Yuejie, et al.
Published: (2026)
by: Li, Yuejie, et al.
Published: (2026)
A Multi-Source Retrieval Question Answering Framework Based on RAG
by: Wu, Ridong, et al.
Published: (2024)
by: Wu, Ridong, et al.
Published: (2024)
FlexStructRAG: Flexible Structure-Aware Multi-Granular Relational Retrieval for RAG
by: Chen, Mengzhu, et al.
Published: (2026)
by: Chen, Mengzhu, et al.
Published: (2026)
HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models
by: Zhang, Yucheng, et al.
Published: (2024)
by: Zhang, Yucheng, et al.
Published: (2024)
EcphoryRAG: Re-Imagining Knowledge-Graph RAG via Human Associative Memory
by: Liao, Zirui
Published: (2025)
by: Liao, Zirui
Published: (2025)
RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering
by: Zhang, Rongyang, et al.
Published: (2025)
by: Zhang, Rongyang, et al.
Published: (2025)
SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering
by: Zhong, Kezhen, et al.
Published: (2025)
by: Zhong, Kezhen, et al.
Published: (2025)
Progressive Searching for Retrieval in RAG
by: Jeong, Taehee, et al.
Published: (2026)
by: Jeong, Taehee, et al.
Published: (2026)
LiteSemRAG: Lightweight LLM-Free Semantic-Aware Graph Retrieval for Robust RAG
by: Yue, Xiao, et al.
Published: (2026)
by: Yue, Xiao, et al.
Published: (2026)
JADE: Bridging the Strategic-Operational Gap in Dynamic Agentic RAG
by: Chen, Yiqun, et al.
Published: (2026)
by: Chen, Yiqun, et al.
Published: (2026)
Mobile-Agent-RAG: Driving Smart Multi-Agent Coordination with Contextual Knowledge Empowerment for Long-Horizon Mobile Automation
by: Zhou, Yuxiang, et al.
Published: (2025)
by: Zhou, Yuxiang, et al.
Published: (2025)
A Survey of Personalization: From RAG to Agent
by: Li, Xiaopeng, et al.
Published: (2025)
by: Li, Xiaopeng, et al.
Published: (2025)
DoTA-RAG: Dynamic of Thought Aggregation RAG
by: Ruangtanusak, Saksorn, et al.
Published: (2025)
by: Ruangtanusak, Saksorn, et al.
Published: (2025)
Test-Time Strategies for More Efficient and Accurate Agentic RAG
by: Zhang, Brian, et al.
Published: (2026)
by: Zhang, Brian, et al.
Published: (2026)
SymRAG: Efficient Neuro-Symbolic Retrieval Through Adaptive Query Routing
by: Hakim, Safayat Bin, et al.
Published: (2025)
by: Hakim, Safayat Bin, et al.
Published: (2025)
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction
by: Mao, Yuren, et al.
Published: (2024)
by: Mao, Yuren, et al.
Published: (2024)
RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition
by: Cofala, Tim, et al.
Published: (2025)
by: Cofala, Tim, et al.
Published: (2025)
MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation
by: Wu, Chuanjie, et al.
Published: (2026)
by: Wu, Chuanjie, et al.
Published: (2026)
Similar Items
-
RaFe: Ranking Feedback Improves Query Rewriting for RAG
by: Mao, Shengyu, et al.
Published: (2024) -
Masking or Mitigating? Deconstructing the Impact of Query Rewriting on Retriever Biases in RAG
by: Goyal, Agam, et al.
Published: (2026) -
FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG
by: Hong, Yubin, et al.
Published: (2025) -
Clue-RAG: Towards Accurate and Cost-Efficient Graph-based RAG via Multi-Partite Graph and Query-Driven Iterative Retrieval
by: Su, Yaodong, et al.
Published: (2025) -
M-RAG: Making RAG Faster, Stronger, and More Efficient
by: Xu, Sun, et al.
Published: (2026)