Saved in:
| Main Authors: | Li, Liz, Zhu, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.03368 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MRAG: Benchmarking Retrieval-Augmented Generation for Bio-medicine
by: Li, Liz, et al.
Published: (2026)
by: Li, Liz, et al.
Published: (2026)
Searching for Best Practices in Retrieval-Augmented Generation
by: Wang, Xiaohua, et al.
Published: (2024)
by: Wang, Xiaohua, et al.
Published: (2024)
Enhancing Retrieval-Augmented Generation: A Study of Best Practices
by: Li, Siran, et al.
Published: (2025)
by: Li, Siran, et al.
Published: (2025)
RAGTurk: Best Practices for Retrieval Augmented Generation in Turkish
by: Köse, Süha Kağan, et al.
Published: (2026)
by: Köse, Süha Kağan, et al.
Published: (2026)
Evaluating ChatGPT on Medical Information Extraction Tasks: Performance, Explainability and Beyond
by: Li, Liz, et al.
Published: (2026)
by: Li, Liz, et al.
Published: (2026)
A Generative Model for Joint Multiple Intent Detection and Slot Filling
by: Li, Liz, et al.
Published: (2026)
by: Li, Liz, et al.
Published: (2026)
Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization
by: Hosseinbeigi, Sara Bourbour, et al.
Published: (2025)
by: Hosseinbeigi, Sara Bourbour, et al.
Published: (2025)
Bailicai: A Domain-Optimized Retrieval-Augmented Generation Framework for Medical Applications
by: Long, Cui, et al.
Published: (2024)
by: Long, Cui, et al.
Published: (2024)
Refine Medical Diagnosis Using Generation Augmented Retrieval and Clinical Practice Guidelines
by: Li, Wenhao, et al.
Published: (2025)
by: Li, Wenhao, et al.
Published: (2025)
Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain
by: Ozaki, Shintaro, et al.
Published: (2024)
by: Ozaki, Shintaro, et al.
Published: (2024)
Searching for Best Practices in Medical Transcription with Large Language Model
by: Li, Jiafeng, et al.
Published: (2024)
by: Li, Jiafeng, et al.
Published: (2024)
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering
by: Shi, Yucheng, et al.
Published: (2023)
by: Shi, Yucheng, et al.
Published: (2023)
ACL: Aligned Contrastive Learning Improves BERT and Multi-exit BERT Fine-tuning
by: Li, Liz, et al.
Published: (2026)
by: Li, Liz, et al.
Published: (2026)
Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering
by: Ngo, Nghia Trung, et al.
Published: (2024)
by: Ngo, Nghia Trung, et al.
Published: (2024)
Context-Adaptive Synthesis and Compression for Enhanced Retrieval-Augmented Generation in Complex Domains
by: Zhou, Peiran, et al.
Published: (2025)
by: Zhou, Peiran, et al.
Published: (2025)
Unified Active Retrieval for Retrieval Augmented Generation
by: Cheng, Qinyuan, et al.
Published: (2024)
by: Cheng, Qinyuan, et al.
Published: (2024)
Knowledge Graph-Guided Retrieval Augmented Generation
by: Zhu, Xiangrong, et al.
Published: (2025)
by: Zhu, Xiangrong, et al.
Published: (2025)
Retrieval-Augmented Feature Generation for Domain-Specific Classification
by: Zhang, Xinhao, et al.
Published: (2024)
by: Zhang, Xinhao, et al.
Published: (2024)
HeteroRAG: A Heterogeneous Retrieval-Augmented Generation Framework for Medical Vision Language Tasks
by: Chen, Zhe, et al.
Published: (2025)
by: Chen, Zhe, et al.
Published: (2025)
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
by: Wang, Shuting, et al.
Published: (2024)
by: Wang, Shuting, et al.
Published: (2024)
Rationale-Guided Retrieval Augmented Generation for Medical Question Answering
by: Sohn, Jiwoong, et al.
Published: (2024)
by: Sohn, Jiwoong, et al.
Published: (2024)
An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs
by: Bourdin, Mathieu, et al.
Published: (2025)
by: Bourdin, Mathieu, et al.
Published: (2025)
Revisiting the Impact of Pursuing Modularity for Code Generation
by: Kang, Deokyeong, et al.
Published: (2024)
by: Kang, Deokyeong, et al.
Published: (2024)
Streamlining Industrial Contract Management with Retrieval-Augmented LLMs
by: Topollai, Kristi, et al.
Published: (2025)
by: Topollai, Kristi, et al.
Published: (2025)
Corrective Retrieval Augmented Generation
by: Yan, Shi-Qi, et al.
Published: (2024)
by: Yan, Shi-Qi, et al.
Published: (2024)
From Evidence-Based Medicine to Knowledge Graph: Retrieval-Augmented Generation for Sports Rehabilitation and a Domain Benchmark
by: Zhang, Jinning, et al.
Published: (2026)
by: Zhang, Jinning, et al.
Published: (2026)
Golden-Retriever: High-Fidelity Agentic Retrieval Augmented Generation for Industrial Knowledge Base
by: An, Zhiyu, et al.
Published: (2024)
by: An, Zhiyu, et al.
Published: (2024)
Claim-Selective Certification for High-Risk Medical Retrieval-Augmented Generation
by: Kan, Shao
Published: (2026)
by: Kan, Shao
Published: (2026)
RAR$^2$: Retrieval-Augmented Medical Reasoning via Thought-Driven Retrieval
by: Xu, Kaishuai, et al.
Published: (2025)
by: Xu, Kaishuai, et al.
Published: (2025)
Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation
by: Misrahi, Alexandre, et al.
Published: (2025)
by: Misrahi, Alexandre, et al.
Published: (2025)
K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor
by: Cho, Jeonghun, et al.
Published: (2025)
by: Cho, Jeonghun, et al.
Published: (2025)
Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation
by: Chu, Yun-Wei, et al.
Published: (2025)
by: Chu, Yun-Wei, et al.
Published: (2025)
Leveraging In-Context Learning and Retrieval-Augmented Generation for Automatic Question Generation in Educational Domains
by: Maity, Subhankar, et al.
Published: (2025)
by: Maity, Subhankar, et al.
Published: (2025)
Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation
by: Sun, Liwen, et al.
Published: (2024)
by: Sun, Liwen, et al.
Published: (2024)
Training Domain Draft Models for Speculative Decoding: Best Practices and Insights
by: Hong, Fenglu, et al.
Published: (2025)
by: Hong, Fenglu, et al.
Published: (2025)
RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering
by: Zhang, Zihan, et al.
Published: (2024)
by: Zhang, Zihan, et al.
Published: (2024)
WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy Domain
by: Meyur, Rounak, et al.
Published: (2024)
by: Meyur, Rounak, et al.
Published: (2024)
BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain
by: Guan, Kaisi, et al.
Published: (2024)
by: Guan, Kaisi, et al.
Published: (2024)
Chain-of-Retrieval Augmented Generation
by: Wang, Liang, et al.
Published: (2025)
by: Wang, Liang, et al.
Published: (2025)
Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain
by: Amirshahi, Shakiba, et al.
Published: (2025)
by: Amirshahi, Shakiba, et al.
Published: (2025)
Similar Items
-
MRAG: Benchmarking Retrieval-Augmented Generation for Bio-medicine
by: Li, Liz, et al.
Published: (2026) -
Searching for Best Practices in Retrieval-Augmented Generation
by: Wang, Xiaohua, et al.
Published: (2024) -
Enhancing Retrieval-Augmented Generation: A Study of Best Practices
by: Li, Siran, et al.
Published: (2025) -
RAGTurk: Best Practices for Retrieval Augmented Generation in Turkish
by: Köse, Süha Kağan, et al.
Published: (2026) -
Evaluating ChatGPT on Medical Information Extraction Tasks: Performance, Explainability and Beyond
by: Li, Liz, et al.
Published: (2026)