Cover Image

Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hashemi, Helia, Rühle, Victor, Rajmohan, Saravan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models
by: Couturier, Camille, et al.
Published: (2025)

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

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

XProvence: Zero-Cost Multilingual Context Pruning for Retrieval-Augmented Generation
by: Mohamed, Youssef, et al.
Published: (2026)

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

Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation
by: Guttal, Pooja, et al.
Published: (2026)

AdaGATE: Adaptive Gap-Aware Token-Efficient Evidence Assembly for Multi-Hop Retrieval-Augmented Generation
by: Guo, Yilin, et al.
Published: (2026)

Retrieval-Augmented Reasoning for Chartered Accountancy
by: Gupta, Jatin, et al.
Published: (2026)

Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation
by: Tang, Minghao, et al.
Published: (2025)

Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented Reasoning
by: Samarinas, Chris, et al.
Published: (2026)

PJB: A Reasoning-Aware Benchmark for Person-Job Retrieval
by: Wang, Guangzhi, et al.
Published: (2026)

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

LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification
by: Liu, Junhua, et al.
Published: (2024)

Breaking It Down: Domain-Aware Semantic Segmentation for Retrieval Augmented Generation
by: Allamraju, Aparajitha, et al.
Published: (2025)

Metacognitive Retrieval-Augmented Large Language Models
by: Zhou, Yujia, et al.
Published: (2024)

Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
by: Jeong, Minbyul, et al.
Published: (2024)

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

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

TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
by: Yu, Xiaohan, et al.
Published: (2025)

Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems
by: Feng, Tao, et al.
Published: (2026)

ChatR1: Reinforcement Learning for Conversational Reasoning and Retrieval Augmented Question Answering
by: Lupart, Simon, et al.
Published: (2025)

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

GeAR: Generation Augmented Retrieval
by: Liu, Haoyu, et al.
Published: (2025)

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

Typed-RAG: Type-Aware Decomposition of Non-Factoid Questions for Retrieval-Augmented Generation
by: Lee, DongGeon, et al.
Published: (2025)

REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
by: Wang, Yuhao, et al.
Published: (2024)

Multi-Field Adaptive Retrieval
by: Li, Millicent, et al.
Published: (2024)

RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects
by: Tu, Yiteng, et al.
Published: (2025)

RAPID: Retrieval-Augmented Parallel Inference Drafting for Text-Based Video Event Retrieval
by: Nguyen, Long, et al.
Published: (2025)

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation
by: Abdallah, Abdelrahman, et al.
Published: (2025)

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

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
by: Zhao, Yilun, et al.
Published: (2026)

Loops On Retrieval Augmented Generation (LoRAG)
by: Thakur, Ayush, et al.
Published: (2024)

RRAML: Reinforced Retrieval Augmented Machine Learning
by: Bacciu, Andrea, et al.
Published: (2023)

RAR-b: Reasoning as Retrieval Benchmark
by: Xiao, Chenghao, et al.
Published: (2024)

Adaptive Personalized Conversational Information Retrieval
by: Mo, Fengran, et al.
Published: (2025)

History-Aware Conversational Dense Retrieval
by: Mo, Fengran, et al.
Published: (2024)

DS@GT at Touché: Large Language Models for Retrieval-Augmented Debate
by: Miyaguchi, Anthony, et al.
Published: (2025)

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation
by: Ren, Ruiyang, et al.
Published: (2023)

Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation
by: Salemi, Alireza, et al.
Published: (2024)