:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yuan, Xujie, Liu, Yongxu, Di, Shimin, Wu, Shiwen, Zheng, Libin, Meng, Rui, Chen, Lei, Zhou, Xiaofang, Yin, Jian
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computation and Language
Online Access:	https://arxiv.org/abs/2502.20854
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation
by: Yuan, Xujie, et al.
Published: (2025)

ToolRosella: Translating Code Repositories into Standardized Tools for Scientific Agents
by: Di, Shimin, et al.
Published: (2026)

Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks
by: Wang, Zhili, et al.
Published: (2023)

When Graph Meets Retrieval Augmented Generation for Wireless Networks: A Tutorial and Case Study
by: Xiong, Yang, et al.
Published: (2024)

CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling
by: Zhao, Yiming, et al.
Published: (2025)

Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design
by: Wang, Jialiang, et al.
Published: (2025)

SAKE: Self-aware Knowledge Exploitation-Exploration for Grounded Multimodal Named Entity Recognition
by: Tang, Jielong, et al.
Published: (2026)

DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
by: Zeng, Xingyuan, et al.
Published: (2026)

Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models
by: Wang, Jialiang, et al.
Published: (2024)

MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation
by: Yuan, Zheng, et al.
Published: (2026)

Cardinality Estimation on Hyper-relational Knowledge Graphs
by: Teng, Fei, et al.
Published: (2024)

Use Graph When It Needs: Efficiently and Adaptively Integrating Retrieval-Augmented Generation with Graphs
by: Dong, Su, et al.
Published: (2026)

Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
by: Yu, Shuo, et al.
Published: (2024)

DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation
by: Guo, Hanghui, et al.
Published: (2025)

Unified Active Retrieval for Retrieval Augmented Generation
by: Cheng, Qinyuan, et al.
Published: (2024)

GRAG: Graph Retrieval-Augmented Generation
by: Hu, Yuntong, et al.
Published: (2024)

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
by: Wang, Shijie, et al.
Published: (2025)

Code2MCP: Transforming Code Repositories into MCP Services
by: Ouyang, Chaoqian, et al.
Published: (2025)

RAG-Verus: Repository-Level Program Verification with LLMs using Retrieval Augmented Generation
by: Zhong, Sicheng, et al.
Published: (2025)

What to Retrieve for Effective Retrieval-Augmented Code Generation? An Empirical Study and Beyond
by: Gu, Wenchao, et al.
Published: (2025)

Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
by: Zheng, Yilun, et al.
Published: (2025)

Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation
by: Yuan, Dun, et al.
Published: (2025)

When More Retrieval Hurts: Retrieval-Augmented Code Review Generation
by: Meng, Qianru, et al.
Published: (2025)

Knowledge Graph-Guided Retrieval Augmented Generation
by: Zhu, Xiangrong, et al.
Published: (2025)

An Empirical Study of Retrieval Augmented Generation with Chain-of-Thought
by: Zhao, Yuetong, et al.
Published: (2024)

Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness
by: Zhou, Dongzhuoran, et al.
Published: (2025)

Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering
by: Xu, Zhentao, et al.
Published: (2024)

When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation
by: Ren, Jing, et al.
Published: (2026)

Unlocking Multi-View Insights in Knowledge-Dense Retrieval-Augmented Generation
by: Chen, Guanhua, et al.
Published: (2024)

Breaking the Static Graph: Context-Aware Traversal for Robust Retrieval-Augmented Generation
by: Lau, Kwun Hang, et al.
Published: (2026)

Understanding the Embedding Models on Hyper-relational Knowledge Graph
by: Wang, Yubo, et al.
Published: (2025)

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities
by: Yang, Zezhou, et al.
Published: (2025)

How to Build an Adaptive AI Tutor for Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)
by: Dong, Chenxi, et al.
Published: (2023)

mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA
by: Yuan, Xu, et al.
Published: (2025)

KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation
by: Fang, Jinyuan, et al.
Published: (2025)

How Does Knowledge Selection Help Retrieval Augmented Generation?
by: Li, Xiangci, et al.
Published: (2024)

Retrieval Augmented Generation for Dynamic Graph Modeling
by: Wu, Yuxia, et al.
Published: (2024)

When Knowledge Is Not Free: Cost-Aware Evidence Selection in Retrieval-Augmented Generation
by: Wu, Mingyan, et al.
Published: (2026)

SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation
by: Cai, Yuzheng, et al.
Published: (2024)

AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation
by: Hou, Yanning, et al.
Published: (2026)