Saved in:
| Main Authors: | Lu, Jianling, Lv, Mingqi, Chen, Tieming |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.10498 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models
by: Chen, Weijie, et al.
Published: (2024)
by: Chen, Weijie, et al.
Published: (2024)
LMAR: Language Model Augmented Retriever for Domain-specific Knowledge Indexing
by: Zhao, Yao, et al.
Published: (2025)
by: Zhao, Yao, et al.
Published: (2025)
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
by: Jeong, Minbyul, et al.
Published: (2024)
by: Jeong, Minbyul, et al.
Published: (2024)
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
by: Tang, Qiaoyu, et al.
Published: (2024)
by: Tang, Qiaoyu, et al.
Published: (2024)
Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models
by: Jin, Zhuoran, et al.
Published: (2024)
by: Jin, Zhuoran, et al.
Published: (2024)
URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models
by: Nguyen, Vinh, et al.
Published: (2026)
by: Nguyen, Vinh, et al.
Published: (2026)
Structure Guided Retrieval-Augmented Generation for Factual Queries
by: Xie, Miao, et al.
Published: (2026)
by: Xie, Miao, et al.
Published: (2026)
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
by: Wu, Junda, et al.
Published: (2024)
by: Wu, Junda, et al.
Published: (2024)
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)
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
by: Zhang, Qinggang, et al.
Published: (2025)
by: Zhang, Qinggang, et al.
Published: (2025)
LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding
by: Wu, Mingrui, et al.
Published: (2024)
by: Wu, Mingrui, et al.
Published: (2024)
Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders
by: Huang, Wei-Hsiang, et al.
Published: (2025)
by: Huang, Wei-Hsiang, et al.
Published: (2025)
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
by: Cai, Rui, et al.
Published: (2025)
by: Cai, Rui, et al.
Published: (2025)
Development of Ontological Knowledge Bases by Leveraging Large Language Models
by: Luyen, Le Ngoc, et al.
Published: (2026)
by: Luyen, Le Ngoc, et al.
Published: (2026)
A Survey on Retrieval-Augmented Text Generation for Large Language Models
by: Huang, Yizheng, et al.
Published: (2024)
by: Huang, Yizheng, et al.
Published: (2024)
Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation
by: Qin, Qitao, et al.
Published: (2025)
by: Qin, Qitao, et al.
Published: (2025)
PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models
by: Liu, Yu, et al.
Published: (2025)
by: Liu, Yu, et al.
Published: (2025)
Lessons from A Large Language Model-based Outdoor Trail Recommendation Chatbot with Retrieval Augmented Generation
by: Mathew, Julia Ann, et al.
Published: (2025)
by: Mathew, Julia Ann, et al.
Published: (2025)
A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models
by: Wei, Qikai, et al.
Published: (2025)
by: Wei, Qikai, et al.
Published: (2025)
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
by: Liang, Xun, et al.
Published: (2025)
by: Liang, Xun, et al.
Published: (2025)
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models
by: Zhang, Yucheng, et al.
Published: (2024)
by: Zhang, Yucheng, et al.
Published: (2024)
Knowledge Retrieval Based on Generative AI
by: Yang, Te-Lun, et al.
Published: (2025)
by: Yang, Te-Lun, et al.
Published: (2025)
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
by: Xu, Ran, et al.
Published: (2024)
by: Xu, Ran, et al.
Published: (2024)
Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval
by: Ma, Shengjie, et al.
Published: (2024)
by: Ma, Shengjie, et al.
Published: (2024)
DRAK: Unlocking Molecular Insights with Domain-Specific Retrieval-Augmented Knowledge in LLMs
by: Liu, Jinzhe, et al.
Published: (2024)
by: Liu, Jinzhe, et al.
Published: (2024)
Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models
by: Wu, Jiongran, et al.
Published: (2025)
by: Wu, Jiongran, et al.
Published: (2025)
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
by: Cui, Ziqiang, et al.
Published: (2024)
by: Cui, Ziqiang, et al.
Published: (2024)
S2G-RAG: Structured Sufficiency and Gap Judging for Iterative Retrieval-Augmented QA
by: Li, Minghan, et al.
Published: (2026)
by: Li, Minghan, et al.
Published: (2026)
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
by: Fan, Wenqi, et al.
Published: (2024)
by: Fan, Wenqi, et al.
Published: (2024)
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
by: Lee, Meng-Chieh, et al.
Published: (2024)
by: Lee, Meng-Chieh, et al.
Published: (2024)
Hybrid Context Retrieval Augmented Generation Pipeline: LLM-Augmented Knowledge Graphs and Vector Database for Accreditation Reporting Assistance
by: Edwards, Candace
Published: (2024)
by: Edwards, Candace
Published: (2024)
Large Language Model Augmented Exercise Retrieval for Personalized Language Learning
by: Xu, Austin, et al.
Published: (2024)
by: Xu, Austin, et al.
Published: (2024)
Tool Graph Retriever: Exploring Dependency Graph-based Tool Retrieval for Large Language Models
by: Gao, Linfeng, et al.
Published: (2025)
by: Gao, Linfeng, et al.
Published: (2025)
When Documents Disagree: Measuring Institutional Variation in Transplant Guidance with Retrieval-Augmented Language Models
by: Li, Yubo, et al.
Published: (2026)
by: Li, Yubo, et al.
Published: (2026)
AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases
by: Suresh, Susheel, et al.
Published: (2026)
by: Suresh, Susheel, et al.
Published: (2026)
Selection and Exploitation of High-Quality Knowledge from Large Language Models for Recommendation
by: Wang, Guanchen, et al.
Published: (2025)
by: Wang, Guanchen, et al.
Published: (2025)
ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
by: Kim, Sunwoo, et al.
Published: (2025)
by: Kim, Sunwoo, 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)
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
by: Hu, Zheng, et al.
Published: (2024)
by: Hu, Zheng, et al.
Published: (2024)
Similar Items
-
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models
by: Chen, Weijie, et al.
Published: (2024) -
LMAR: Language Model Augmented Retriever for Domain-specific Knowledge Indexing
by: Zhao, Yao, et al.
Published: (2025) -
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
by: Jeong, Minbyul, et al.
Published: (2024) -
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
by: Tang, Qiaoyu, et al.
Published: (2024) -
Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models
by: Jin, Zhuoran, et al.
Published: (2024)