:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jain, Amay, Cui, Liu, Chen, Si
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2509.07846
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Orion-RAG: Path-Aligned Hybrid Retrieval for Graphless Data
by: Chen, Zhen, et al.
Published: (2026)

RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation
by: Xu, Ran, et al.
Published: (2025)

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

AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases
by: Suresh, Susheel, et al.
Published: (2026)

Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases
by: Di Maio, Christian, et al.
Published: (2024)

Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering
by: Liu, Xukai, et al.
Published: (2025)

Fusing Knowledge and Language: A Comparative Study of Knowledge Graph-Based Question Answering with LLMs
by: Chaudhary, Vaibhav, et al.
Published: (2025)

RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
by: Liu, Wanlong, et al.
Published: (2024)

CORAL: Adaptive Retrieval Loop for Culturally-Aligned Multilingual RAG
by: Lee, Nayeon, et al.
Published: (2026)

From RAG to RICHES: Retrieval Interlaced with Sequence Generation
by: Jain, Palak, et al.
Published: (2024)

RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question Answering
by: Um, Kaehyun, et al.
Published: (2026)

MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework
by: Ling, Zihan, et al.
Published: (2025)

LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval
by: Zhang, Yaoze, et al.
Published: (2025)

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation
by: Zou, Deyu, et al.
Published: (2025)

Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
by: Ovadia, Oded, et al.
Published: (2023)

Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems
by: Pavlović, Jovan, et al.
Published: (2025)

LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
by: Jiang, Ziyan, et al.
Published: (2024)

ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation
by: Wang, Chenyu, et al.
Published: (2026)

Privacy-Aware RAG: Secure and Isolated Knowledge Retrieval
by: Zhou, Pengcheng, et al.
Published: (2025)

Comparing RAG and GraphRAG for Page-Level Retrieval Question Answering on Math Textbook
by: Chen, Eason, et al.
Published: (2025)

T-GRAG: A Dynamic GraphRAG Framework for Resolving Temporal Conflicts and Redundancy in Knowledge Retrieval
by: Li, Dong, et al.
Published: (2025)

CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge
by: Tihanyi, Norbert, et al.
Published: (2024)

Stop-RAG: Value-Based Retrieval Control for Iterative RAG
by: Park, Jaewan, et al.
Published: (2025)

Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs
by: Chen, Yingjian, et al.
Published: (2025)

MegaRAG: Multimodal Knowledge Graph-Based Retrieval Augmented Generation
by: Hsiao, Chi-Hsiang, et al.
Published: (2025)

RAG-KT: Cross-platform Explainable Knowledge Tracing with Multi-view Fusion Retrieval Generation
by: Duan, Zhiyi, et al.
Published: (2026)

SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation
by: Ye, Hao, et al.
Published: (2025)

TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG
by: Kashmira, Savini, et al.
Published: (2024)

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

A Comparative Study of Specialized LLMs as Dense Retrievers
by: Zhang, Hengran, et al.
Published: (2025)

CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering
by: Wiratunga, Nirmalie, et al.
Published: (2024)

Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE
by: Moghaddam, Zahra Zehtabi Sabeti, et al.
Published: (2025)

DynaRAG: Bridging Static and Dynamic Knowledge in Retrieval-Augmented Generation
by: Liang, Penghao, et al.
Published: (2026)

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

GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generation
by: Wang, Yifan, et al.
Published: (2026)

Aligning LLMs with Biomedical Knowledge using Balanced Fine-Tuning
by: Tang, Zhenchao, et al.
Published: (2025)

Class-RAG: Real-Time Content Moderation with Retrieval Augmented Generation
by: Chen, Jianfa, et al.
Published: (2024)

RAG-based Architectures for Drug Side Effect Retrieval in LLMs
by: Nygren, Shad, et al.
Published: (2025)

Towards Practical GraphRAG: Efficient Knowledge Graph Construction and Hybrid Retrieval at Scale
by: Min, Congmin, et al.
Published: (2025)

The 2nd FutureDial Challenge: Dialog Systems with Retrieval Augmented Generation (FutureDial-RAG)
by: Cai, Yucheng, et al.
Published: (2024)