Saved in:
| Main Authors: | Zhu, Yifan, Mi, Yu, Lu, Yue, Guan, Yanchu, Chu, Zhixuan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.22829 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation
by: Qin, Qitao, et al.
Published: (2025)
by: Qin, Qitao, et al.
Published: (2025)
Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation
by: Liu, Yuhang, et al.
Published: (2024)
by: Liu, Yuhang, et al.
Published: (2024)
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
by: Hui, Yulong, et al.
Published: (2024)
by: Hui, Yulong, et al.
Published: (2024)
MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation
by: Dai, Sijun, et al.
Published: (2026)
by: Dai, Sijun, et al.
Published: (2026)
Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation
by: Feng, Yifan, et al.
Published: (2025)
by: Feng, Yifan, et al.
Published: (2025)
Federated Recommendation via Hybrid Retrieval Augmented Generation
by: Zeng, Huimin, et al.
Published: (2024)
by: Zeng, Huimin, et al.
Published: (2024)
Zero-shot Multimodal Document Retrieval via Cross-modal Question Generation
by: Choi, Yejin, et al.
Published: (2025)
by: Choi, Yejin, et al.
Published: (2025)
A Knowledge Graph-based Retrieval-Augmented Generation Framework for Algorithm Selection in the Facility Layout Problem
by: S, Nikhil N, et al.
Published: (2025)
by: S, Nikhil N, et al.
Published: (2025)
Evaluating Chunking Strategies For Retrieval-Augmented Generation in Oil and Gas Enterprise Documents
by: Taiwo, Samuel, et al.
Published: (2026)
by: Taiwo, Samuel, et al.
Published: (2026)
MIXRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
by: Liu, Lihui, et al.
Published: (2025)
by: Liu, Lihui, et al.
Published: (2025)
RAGdb: A Zero-Dependency, Embeddable Architecture for Multimodal Retrieval-Augmented Generation on the Edge
by: Khalid, Ahmed Bin
Published: (2025)
by: Khalid, Ahmed Bin
Published: (2025)
Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization
by: Zhang, Gongbo, et al.
Published: (2026)
by: Zhang, Gongbo, et al.
Published: (2026)
LightRAG: Simple and Fast Retrieval-Augmented Generation
by: Guo, Zirui, et al.
Published: (2024)
by: Guo, Zirui, et al.
Published: (2024)
MARC: Multimodal and Multi-Task Agentic Retrieval-Augmented Generation for Cold-Start Recommender System
by: Cho, Seung Hwan, et al.
Published: (2025)
by: Cho, Seung Hwan, et al.
Published: (2025)
MARA: A Multimodal Adaptive Retrieval-Augmented Framework for Document Question Answering
by: Wu, Hui, et al.
Published: (2026)
by: Wu, Hui, et al.
Published: (2026)
Establishing Performance Baselines in Fine-Tuning, Retrieval-Augmented Generation and Soft-Prompting for Non-Specialist LLM Users
by: Dodgson, Jennifer, et al.
Published: (2023)
by: Dodgson, Jennifer, et al.
Published: (2023)
HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
by: Madhu, Hiren, et al.
Published: (2026)
by: Madhu, Hiren, et al.
Published: (2026)
Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation
by: Zhao, Ziwen, et al.
Published: (2026)
by: Zhao, Ziwen, et al.
Published: (2026)
Cross-Document Topic-Aligned Chunking for Retrieval-Augmented Generation
by: Stankovic, Mile
Published: (2025)
by: Stankovic, Mile
Published: (2025)
Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults
by: Abedi, Ali, et al.
Published: (2026)
by: Abedi, Ali, et al.
Published: (2026)
Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation
by: Dong, Guanting, et al.
Published: (2025)
by: Dong, Guanting, et al.
Published: (2025)
SAKR: Enhancing Retrieval-Augmented Generation via Streaming Algorithm and K-Means Clustering
by: Kang, Haoyu, et al.
Published: (2024)
by: Kang, Haoyu, et al.
Published: (2024)
FineRec:Exploring Fine-grained Sequential Recommendation
by: Zhang, Xiaokun, et al.
Published: (2024)
by: Zhang, Xiaokun, et al.
Published: (2024)
Benchmarking Retrieval-Augmented Generation for Chemistry
by: Zhong, Xianrui, et al.
Published: (2025)
by: Zhong, Xianrui, et al.
Published: (2025)
SF-RAG: Structure-Fidelity Retrieval-Augmented Generation for Academic Question Answering
by: Yu, Rui, et al.
Published: (2026)
by: Yu, Rui, et al.
Published: (2026)
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
by: Li, Xiaoxi, et al.
Published: (2024)
by: Li, Xiaoxi, et al.
Published: (2024)
XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation
by: Wang, Ke, et al.
Published: (2025)
by: Wang, Ke, et al.
Published: (2025)
BookRAG: A Hierarchical Structure-aware Index-based Approach for Retrieval-Augmented Generation on Complex Documents
by: Wang, Shu, et al.
Published: (2025)
by: Wang, Shu, et al.
Published: (2025)
Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning
by: Zhu, Jiachen, et al.
Published: (2025)
by: Zhu, Jiachen, et al.
Published: (2025)
VersionRAG: Version-Aware Retrieval-Augmented Generation for Evolving Documents
by: Huwiler, Daniel, et al.
Published: (2025)
by: Huwiler, Daniel, et al.
Published: (2025)
DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation
by: Ni, Jingwei, et al.
Published: (2024)
by: Ni, Jingwei, et al.
Published: (2024)
Event GDR: Event-Centric Generative Document Retrieval
by: Guan, Yong, et al.
Published: (2024)
by: Guan, Yong, et al.
Published: (2024)
RAGe: A Retrieval-Augmented Generation Evaluation Framework
by: Guder, Larissa, et al.
Published: (2026)
by: Guder, Larissa, et al.
Published: (2026)
TrustRAG: An Information Assistant with Retrieval Augmented Generation
by: Fan, Yixing, et al.
Published: (2025)
by: Fan, Yixing, et al.
Published: (2025)
Retrieval-Augmented Generation Assistant for Anatomical Pathology Laboratories
by: Pires, Diogo, et al.
Published: (2025)
by: Pires, Diogo, et al.
Published: (2025)
Structure Guided Retrieval-Augmented Generation for Factual Queries
by: Xie, Miao, et al.
Published: (2026)
by: Xie, Miao, et al.
Published: (2026)
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025)
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025)
KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering
by: Sun, Yushi, et al.
Published: (2025)
by: Sun, Yushi, et al.
Published: (2025)
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
by: Kang, SeongKu, et al.
Published: (2025)
by: Kang, SeongKu, et al.
Published: (2025)
Graph Retrieval-Augmented Generation: A Survey
by: Peng, Boci, et al.
Published: (2024)
by: Peng, Boci, et al.
Published: (2024)
Similar Items
-
Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation
by: Qin, Qitao, et al.
Published: (2025) -
Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation
by: Liu, Yuhang, et al.
Published: (2024) -
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
by: Hui, Yulong, et al.
Published: (2024) -
MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation
by: Dai, Sijun, et al.
Published: (2026) -
Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation
by: Feng, Yifan, et al.
Published: (2025)