Image de couverture de livre

A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Du, Mingxuan, Xu, Benfeng, Zhu, Chiwei, Wang, Shaohan, Wang, Pengyu, Wang, Xiaorui, Mao, Zhendong
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora
par: Wang, Pengyu, et autres
Publié: (2026)

FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents
par: Zhu, Chiwei, et autres
Publié: (2026)

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
par: Du, Mingxuan, et autres
Publié: (2025)

DeepResearch Bench II: Diagnosing Deep Research Agents via Rubrics from Expert Report
par: Li, Ruizhe, et autres
Publié: (2026)

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding
par: Zhu, Chiwei, et autres
Publié: (2025)

Wiki Live Challenge: Challenging Deep Research Agents with Expert-Level Wikipedia Articles
par: Wang, Shaohan, et autres
Publié: (2026)

Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach
par: Li, Ruizhe, et autres
Publié: (2025)

DACL-RAG: Data Augmentation Strategy with Curriculum Learning for Retrieval-Augmented Generation
par: Wang, Shaohan, et autres
Publié: (2025)

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools
par: Guo, Zikang, et autres
Publié: (2025)

An Index-based Approach for Efficient and Effective Web Content Extraction
par: Chen, Yihan, et autres
Publié: (2025)

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability
par: Zhu, Chiwei, et autres
Publié: (2025)

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking
par: Chen, Yihan, et autres
Publié: (2025)

Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
par: Singh, Aditi, et autres
Publié: (2025)

Benchmarking Large Language Models on Controllable Generation under Diversified Instructions
par: Chen, Yihan, et autres
Publié: (2024)

HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation
par: Liu, Pei, et autres
Publié: (2025)

Align Documents to Questions: Question-Oriented Document Rewriting for Retrieval-Augmented Generation
par: Li, Jiaang, et autres
Publié: (2026)

REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation
par: Jiang, Wentao, et autres
Publié: (2025)

BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation
par: Wang, Yuhao, et autres
Publié: (2025)

PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design
par: Jiang, Wenqi, et autres
Publié: (2024)

RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation
par: Wang, Shuting, et autres
Publié: (2024)

EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generation
par: Wang, Yi, et autres
Publié: (2025)

RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
par: Wang, Yu, et autres
Publié: (2025)

HeteroRAG: A Heterogeneous Retrieval-Augmented Generation Framework for Medical Vision Language Tasks
par: Chen, Zhe, et autres
Publié: (2025)

YpathRAG:A Retrieval-Augmented Generation Framework and Benchmark for Pathology
par: Yu, Deshui, et autres
Publié: (2025)

CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation
par: Khatibi, Elahe, et autres
Publié: (2025)

HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation
par: Wu, Peilin, et autres
Publié: (2025)

CodeRAG-Bench: Can Retrieval Augment Code Generation?
par: Wang, Zora Zhiruo, et autres
Publié: (2024)

TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation
par: Zhou, Huichi, et autres
Publié: (2025)

Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
par: Liu, Dongqi, et autres
Publié: (2026)

DecEx-RAG: Boosting Agentic Retrieval-Augmented Generation with Decision and Execution Optimization via Process Supervision
par: Leng, Yongqi, et autres
Publié: (2025)

GEM-RAG: Graphical Eigen Memories For Retrieval Augmented Generation
par: Rappazzo, Brendan Hogan, et autres
Publié: (2024)

PrefRAG: Preference-Driven Multi-Source Retrieval Augmented Generation
par: Zhao, Qingfei, et autres
Publié: (2024)

CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation
par: Wang, Nengbo, et autres
Publié: (2025)

HyperbolicRAG: Enhancing Retrieval-Augmented Generation with Hyperbolic Representations
par: Cao, Linxiao, et autres
Publié: (2025)

EfficientGraph-RAG: Structured Retrieval-State Management for Cross-Task Retrieval-Augmented Generation
par: Niu, Miaohe, et autres
Publié: (2026)

ConfRAG: Confidence-Guided Retrieval-Augmenting Generation
par: Huang, Yin, et autres
Publié: (2025)

P-RAG: Progressive Retrieval Augmented Generation For Planning on Embodied Everyday Task
par: Xu, Weiye, et autres
Publié: (2024)

ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation
par: Wang, Chenyu, et autres
Publié: (2026)

ContextRAG: Extraction-Free Hierarchical Graph Construction for Retrieval-Augmented Generation
par: Prosvirnin, Roman, et autres
Publié: (2026)

TagRAG: Tag-guided Hierarchical Knowledge Graph Retrieval-Augmented Generation
par: Tao, Wenbiao, et autres
Publié: (2025)