Copertina

Lightweight Query Routing for Adaptive RAG: A Baseline Study on RAGRouter-Bench

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bansal, Prakhar, Agarwal, Shivangi
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Information Retrieval Computation and Language Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

Succeeding at Scale: Automated Dataset Construction and Query-Side Adaptation for Multi-Tenant Search
di: Jain, Prateek, et al.
Pubblicazione: (2026)

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval
di: Kabir, Muhammad Rafsan, et al.
Pubblicazione: (2025)

UltRAG: a Universal Simple Scalable Recipe for Knowledge Graph RAG
di: Georgiev, Dobrik, et al.
Pubblicazione: (2026)

MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG
di: Lim, Woosang, et al.
Pubblicazione: (2025)

QueryBuilder: Human-in-the-Loop Query Development for Information Retrieval
di: Kandula, Hemanth, et al.
Pubblicazione: (2024)

SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG
di: Zhang, Xuechen, et al.
Pubblicazione: (2025)

SymRAG: Efficient Neuro-Symbolic Retrieval Through Adaptive Query Routing
di: Hakim, Safayat Bin, et al.
Pubblicazione: (2025)

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

Contextual Multilingual Spellchecker for User Queries
di: Sharma, Sanat, et al.
Pubblicazione: (2023)

RAGSys: Item-Cold-Start Recommender as RAG System
di: Contal, Emile, et al.
Pubblicazione: (2024)

METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation
di: Ray, Siddhant, et al.
Pubblicazione: (2024)

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

Atomic Information Flow: A Network Flow Model for Tool Attributions in RAG Systems
di: Gao, James, et al.
Pubblicazione: (2026)

What's happening in your neighborhood? A Weakly Supervised Approach to Detect Local News
di: Shah, Deven Santosh, et al.
Pubblicazione: (2023)

Multi-task retriever fine-tuning for domain-specific and efficient RAG
di: Béchard, Patrice, et al.
Pubblicazione: (2025)

SoftQE: Learned Representations of Queries Expanded by LLMs
di: Pimpalkhute, Varad, et al.
Pubblicazione: (2024)

FAB-Bench: A Framework for Adaptive RAG Benchmarking in Semiconductor Manufacturing
di: Qian, Jingbin, et al.
Pubblicazione: (2026)

Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings
di: Xu, Binbin, et al.
Pubblicazione: (2025)

Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG
di: Moreira, Gabriel de Souza P., et al.
Pubblicazione: (2024)

LemmaHead: RAG Assisted Proof Generation Using Large Language Models
di: Yang, Tianbo, et al.
Pubblicazione: (2025)

RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking
di: Zou, Jiaru, et al.
Pubblicazione: (2025)

Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization
di: Zamani, Hamed, et al.
Pubblicazione: (2024)

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

Let Multimodal Embedders Learn When to Augment Query via Adaptive Query Augmentation
di: Kim, Wongyu, et al.
Pubblicazione: (2025)

NANOGPT: A Query-Driven Large Language Model Retrieval-Augmented Generation System for Nanotechnology Research
di: Chandrasekhar, Achuth, et al.
Pubblicazione: (2025)

Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training
di: Xia, Tianle, et al.
Pubblicazione: (2026)

PluriHopRAG: Exhaustive, Recall-Sensitive QA Through Corpus-Specific Document Structure Learning
di: Sveistrys, Mykolas, et al.
Pubblicazione: (2025)

LiveNewsBench: Evaluating LLM Web Search Capabilities with Freshly Curated News
di: Zhang, Yunfan, et al.
Pubblicazione: (2026)

Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria Reranking
di: LeVine, Will, et al.
Pubblicazione: (2025)

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems
di: Papadimitriou, Ioannis, et al.
Pubblicazione: (2024)

W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering
di: Nian, Jinming, et al.
Pubblicazione: (2024)

NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System
di: Nigam, Shubham Kumar, et al.
Pubblicazione: (2025)

Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets
di: Dammu, Preetam Prabhu Srikar, et al.
Pubblicazione: (2025)

Quantifying Document Impact in RAG-LLMs
di: Gerami, Armin, et al.
Pubblicazione: (2025)

The Chronicles of RAG: The Retriever, the Chunk and the Generator
di: Finardi, Paulo, et al.
Pubblicazione: (2024)

CoRAG: Collaborative Retrieval-Augmented Generation
di: Muhamed, Aashiq, et al.
Pubblicazione: (2025)

SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation
di: Dixit, Prakhar, et al.
Pubblicazione: (2024)

Task-Adaptive Embedding Refinement via Test-time LLM Guidance
di: Gera, Ariel, et al.
Pubblicazione: (2026)