:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Xiaochen, Wu, Zongyu, Zhong, Yuan, Zhang, Xiang, Wang, Suhang, Ma, Fenglong
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Computation and Language
Online Access:	https://arxiv.org/abs/2506.00261
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers
by: Sengupta, Saptarshi, et al.
Published: (2025)

Enhance Graph Alignment for Large Language Models
by: Luo, Haitong, et al.
Published: (2024)

CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation
by: Wang, Nengbo, et al.
Published: (2025)

SparseCL: Sparse Contrastive Learning for Contradiction Retrieval
by: Xu, Haike, et al.
Published: (2024)

SkewRoute: Training-Free LLM Routing for Knowledge Graph Retrieval-Augmented Generation via Score Skewness of Retrieved Context
by: Wang, Hairu, et al.
Published: (2025)

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning
by: Sun, Qingyun, et al.
Published: (2025)

Exploring Training and Inference Scaling Laws in Generative Retrieval
by: Cai, Hongru, et al.
Published: (2025)

Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs
by: Wang, Zheng, et al.
Published: (2024)

Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching
by: Ma, Chuangtao, et al.
Published: (2025)

Generative Dense Retrieval: Memory Can Be a Burden
by: Yuan, Peiwen, et al.
Published: (2024)

Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning
by: Liang, Xun, et al.
Published: (2024)

URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models
by: Nguyen, Vinh, et al.
Published: (2026)

Retrieval-Augmented Generation with Graphs (GraphRAG)
by: Han, Haoyu, et al.
Published: (2024)

ArbGraph: Conflict-Aware Evidence Arbitration for Reliable Long-Form Retrieval-Augmented Generation
by: Niu, Qingying, et al.
Published: (2026)

LITE: LLM-Impelled efficient Taxonomy Evaluation
by: Zhang, Lin, et al.
Published: (2025)

RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
by: Li, Xiaoxi, et al.
Published: (2024)

Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2025)

Parametric Retrieval Augmented Generation
by: Su, Weihang, et al.
Published: (2025)

GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation
by: Miao, Ruizhong, et al.
Published: (2026)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
by: Jin, Bowen, et al.
Published: (2024)

On Synthetic Data Strategies for Domain-Specific Generative Retrieval
by: Wen, Haoyang, et al.
Published: (2025)

S-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering
by: Fu, Rong, et al.
Published: (2026)

Chain-of-Retrieval Augmented Generation
by: Wang, Liang, et al.
Published: (2025)

Adaptive Retrieval-Augmented Generation for Conversational Systems
by: Wang, Xi, et al.
Published: (2024)

Generative Multi-Modal Knowledge Retrieval with Large Language Models
by: Long, Xinwei, et al.
Published: (2024)

Graph Retrieval-Augmented Generation: A Survey
by: Peng, Boci, et al.
Published: (2024)

Exposing Privacy Risks in Graph Retrieval-Augmented Generation
by: Liu, Jiale, et al.
Published: (2025)

Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe
by: You, Chong, et al.
Published: (2025)

TagRAG: Tag-guided Hierarchical Knowledge Graph Retrieval-Augmented Generation
by: Tao, Wenbiao, et al.
Published: (2025)

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
by: Chang, Chia-Yuan, et al.
Published: (2024)

MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation
by: Chen, Yiqun, et al.
Published: (2025)

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
by: Zhang, Qinggang, et al.
Published: (2025)

Exploiting Duality in Open Information Extraction with Predicate Prompt
by: Chen, Zhen, et al.
Published: (2024)

MultiRAG: A Knowledge-guided Framework for Mitigating Hallucination in Multi-source Retrieval Augmented Generation
by: Wu, Wenlong, et al.
Published: (2025)

HetaRAG: Hybrid Deep Retrieval-Augmented Generation across Heterogeneous Data Stores
by: Yan, Guohang, et al.
Published: (2025)

A Survey of Generative Information Retrieval
by: Kuo, Tzu-Lin, et al.
Published: (2024)

BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model
by: Zhiyuli, Aakas, et al.
Published: (2023)

HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation
by: Liu, Hao, et al.
Published: (2025)

From Retrieval to Generation: Efficient and Effective Entity Set Expansion
by: Huang, Shulin, et al.
Published: (2023)

Evaluating Retrieval Quality in Retrieval-Augmented Generation
by: Salemi, Alireza, et al.
Published: (2024)