Cover Image

MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lim, Woosang, Li, Zekun, Kim, Gyuwan, Ji, Sungyoung, Kim, HyeonJung, Choi, Kyuri, Lim, Jin Hyuk, Park, Kyungpyo, Wang, William Yang
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ECoRAG: Evidentiality-guided Compression for Long Context RAG
by: Jeong, Yeonseok, et al.
Published: (2025)

MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding
by: Li, Zekun, et al.
Published: (2024)

Lithium Localization by Anions in Argyrodite Solid Electrolytes from Machine‐Learning‐based Simulations
by: Hyun‐Jae Lee, et al.
Published: (2024)

SPARC-RAG: Adaptive Sequential-Parallel Scaling with Context Management for Retrieval-Augmented Generation
by: Yang, Yuxin, et al.
Published: (2026)

ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM Responses
by: Gumaan, Esmail
Published: (2025)

OpenRAG: Optimizing RAG End-to-End via In-Context Retrieval Learning
by: Zhou, Jiawei, et al.
Published: (2025)

IRA: Adaptive Interest-aware Representation and Alignment for Personalized Multi-interest Retrieval
by: Lee, Youngjune, et al.
Published: (2025)

Optimizing Query Generation for Enhanced Document Retrieval in RAG
by: Koo, Hamin, et al.
Published: (2024)

AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
by: Yoon, Soyoung, et al.
Published: (2025)

xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
by: Cheng, Xin, et al.
Published: (2024)

Memento: Personalized RAG-Style Long-Retention Data Scaling for META Ads Recommendation
by: Chen, Xiaoyu, et al.
Published: (2026)

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
by: Tan, Jiejun, et al.
Published: (2024)

PentaRAG: Large-Scale Intelligent Knowledge Retrieval for Enterprise LLM Applications
by: Syarubany, Abu Hanif Muhammad, et al.
Published: (2025)

Context Embeddings for Efficient Answer Generation in RAG
by: Rau, David, et al.
Published: (2024)

Controlled Retrieval-augmented Context Evaluation for Long-form RAG
by: Ju, Jia-Huei, et al.
Published: (2025)

LURE-RAG: Lightweight Utility-driven Reranking for Efficient RAG
by: Chandra, Manish, et al.
Published: (2026)

The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems
by: Choi, Chanwoo, et al.
Published: (2025)

RAGRouter-Bench: A Dataset and Benchmark for Adaptive RAG Routing
by: Wang, Ziqi, et al.
Published: (2026)

RAG vs. GraphRAG: A Systematic Evaluation and Key Insights
by: Han, Haoyu, et al.
Published: (2025)

Lost in the Evidence? Reproducing Document Position and Context Size Effects in RAG
by: Gabín, Jorge, et al.
Published: (2026)

ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
by: Kim, Sunwoo, et al.
Published: (2025)

Automating Iconclass: LLMs and RAG for Large-Scale Classification of Religious Woodcuts
by: Thomas, Drew B.
Published: (2025)

AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning
by: Rezaei, Mohammad Reza, et al.
Published: (2024)

Cluster-based Adaptive Retrieval: Dynamic Context Selection for RAG Applications
by: Xu, Yifan, et al.
Published: (2025)

FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG
by: Hong, Yubin, et al.
Published: (2025)

From Documents to Dialogue: Building KG-RAG Enhanced AI Assistants
by: Mukherjee, Manisha, et al.
Published: (2025)

TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems
by: Jiang, Xinke, et al.
Published: (2024)

DMQR-RAG: Diverse Multi-Query Rewriting for RAG
by: Li, Zhicong, et al.
Published: (2024)

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems
by: Fan, Dongzhe, et al.
Published: (2026)

Separating Semantic Competition from Context Length in RAG Reading
by: Repantis, Vyzantinos, et al.
Published: (2026)

ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research
by: Lin, Junyong, et al.
Published: (2025)

Scaling Retrieval Augmented Generation with RAG Fusion: Lessons from an Industry Deployment
by: Medrano, Luigi, et al.
Published: (2026)

KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG
by: Huang, Yiqian, et al.
Published: (2025)

FastInsight: Fast and Insightful Retrieval via Fusion Operators for Graph RAG
by: An, Seonho, et al.
Published: (2026)

HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications
by: Kalra, Rishi, et al.
Published: (2024)

Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation
by: Kim, To Eun, et al.
Published: (2024)

Causal-Counterfactual RAG: The Integration of Causal-Counterfactual Reasoning into RAG
by: Khadilkar, Harshad, et al.
Published: (2025)

HugRAG: Hierarchical Causal Knowledge Graph Design for RAG
by: Wang, Nengbo, et al.
Published: (2026)

M-RAG: Making RAG Faster, Stronger, and More Efficient
by: Xu, Sun, et al.
Published: (2026)

From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process
by: Kim, Jaewoong, et al.
Published: (2024)