Cover Image

RAR$^2$: Retrieval-Augmented Medical Reasoning via Thought-Driven Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Kaishuai, Hou, Wenjun, Cheng, Yi, Li, Wenjie
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment
by: Xu, Kaishuai, et al.
Published: (2024)

Medical Dialogue Generation via Intuitive-then-Analytical Differential Diagnosis
by: Xu, Kaishuai, et al.
Published: (2024)

Memory-Augmented Multimodal LLMs for Surgical VQA via Self-Contained Inquiry
by: Hou, Wenjun, et al.
Published: (2024)

ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation
by: Hou, Wenjun, et al.
Published: (2024)

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

RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection
by: Hou, Wenjun, et al.
Published: (2025)

Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editing
by: Xu, Kaishuai, et al.
Published: (2024)

RAR: Setting Knowledge Tripwires for Retrieval Augmented Rejection
by: Buonocore, Tommaso Mario, et al.
Published: (2025)

Learning to Align Multi-Faceted Evaluation: A Unified and Robust Framework
by: Xu, Kaishuai, 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)

AutoPal: Autonomous Adaptation to Users for Personal AI Companionship
by: Cheng, Yi, et al.
Published: (2024)

PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation
by: Zai, Xiangjun, et al.
Published: (2025)

MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning
by: Nguyen, Thang, et al.
Published: (2025)

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation
by: Wang, Zihao, et al.
Published: (2024)

An Empirical Study of Retrieval Augmented Generation with Chain-of-Thought
by: Zhao, Yuetong, et al.
Published: (2024)

Retrieval-Augmented Self-Taught Reasoning Model with Adaptive Chain-of-Thought for ASR Named Entity Correction
by: An, Junjie, et al.
Published: (2026)

Med-R$^3$: Enhancing Medical Retrieval-Augmented Reasoning of LLMs via Progressive Reinforcement Learning
by: Lu, Keer, et al.
Published: (2025)

RARE: Retrieval-Augmented Reasoning Modeling
by: Wang, Zhengren, et al.
Published: (2025)

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation
by: Jiao, YiHan, et al.
Published: (2025)

Unified Active Retrieval for Retrieval Augmented Generation
by: Cheng, Qinyuan, et al.
Published: (2024)

MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering
by: Zhu, Zhengyuan, et al.
Published: (2024)

Stateful Evidence-Driven Retrieval-Augmented Generation with Iterative Reasoning
by: Dong, Qi, et al.
Published: (2026)

MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering
by: Shi, Yucheng, et al.
Published: (2023)

PrivGemo: Privacy-Preserving Dual-Tower Graph Retrieval for Empowering LLM Reasoning with Memory Augmentation
by: Tan, Xingyu, et al.
Published: (2026)

ToolSpec: Accelerating Tool Calling via Schema-Aware and Retrieval-Augmented Speculative Decoding
by: Xia, Heming, et al.
Published: (2026)

Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning
by: Qin, Yuehan, et al.
Published: (2025)

RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition
by: Liu, Ziyu, et al.
Published: (2024)

SEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical Reasoning
by: Huang, Yongfeng, et al.
Published: (2026)

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

LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling
by: Xiao, Yang, et al.
Published: (2025)

No Two Devils Alike: Unveiling Distinct Mechanisms of Fine-tuning Attacks
by: Leong, Chak Tou, et al.
Published: (2024)

RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation
by: Xu, Zhichao, et al.
Published: (2025)

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
by: Li, Feiyang, et al.
Published: (2025)

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
by: Jia, Pengyue, et al.
Published: (2024)

Retrieval-Augmented Linguistic Calibration
by: Yeh, Yi-Fan, et al.
Published: (2026)

Improving Context Fidelity via Native Retrieval-Augmented Reasoning
by: Wang, Suyuchen, et al.
Published: (2025)

KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation
by: Fang, Jinyuan, et al.
Published: (2025)

SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
by: Yao, Zijun, et al.
Published: (2024)

Pursuing Best Industrial Practices for Retrieval-Augmented Generation in the Medical Domain
by: Li, Liz, et al.
Published: (2026)

Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs
by: Li, Hanqing, et al.
Published: (2025)