Saved in:
| Main Authors: | Long, Cui, Liu, Yongbin, Ouyang, Chunping, Yu, Ying |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.21055 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pursuing Best Industrial Practices for Retrieval-Augmented Generation in the Medical Domain
by: Li, Liz, et al.
Published: (2026)
by: Li, Liz, et al.
Published: (2026)
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)
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)
Retrieval-Augmented Feature Generation for Domain-Specific Classification
by: Zhang, Xinhao, et al.
Published: (2024)
by: Zhang, Xinhao, et al.
Published: (2024)
YpathRAG:A Retrieval-Augmented Generation Framework and Benchmark for Pathology
by: Yu, Deshui, et al.
Published: (2025)
by: Yu, Deshui, et al.
Published: (2025)
GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework
by: Zou, Xuecheng, et al.
Published: (2025)
by: Zou, Xuecheng, et al.
Published: (2025)
How Does Knowledge Selection Help Retrieval Augmented Generation?
by: Li, Xiangci, et al.
Published: (2024)
by: Li, Xiangci, et al.
Published: (2024)
Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
by: Chen, Zhe, et al.
Published: (2025)
by: Chen, Zhe, et al.
Published: (2025)
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering
by: Shi, Yucheng, et al.
Published: (2023)
by: Shi, Yucheng, et al.
Published: (2023)
RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented Generation
by: Yan, Shi-Qi, et al.
Published: (2025)
by: Yan, Shi-Qi, et al.
Published: (2025)
Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation
by: Zhong, Zijie, et al.
Published: (2024)
by: Zhong, Zijie, et al.
Published: (2024)
Intuitive or Dependent? Investigating LLMs' Behavior Style to Conflicting Prompts
by: Ying, Jiahao, et al.
Published: (2023)
by: Ying, Jiahao, et al.
Published: (2023)
RAEE: A Robust Retrieval-Augmented Early Exit Framework for Efficient Inference
by: Huang, Lianming, et al.
Published: (2024)
by: Huang, Lianming, et al.
Published: (2024)
A Survey on Knowledge-Oriented Retrieval-Augmented Generation
by: Cheng, Mingyue, et al.
Published: (2025)
by: Cheng, Mingyue, et al.
Published: (2025)
Retrieval-Augmented Generation for Natural Language Processing: A Survey
by: Wu, Shangyu, et al.
Published: (2024)
by: Wu, Shangyu, et al.
Published: (2024)
Optimizing Retrieval-Augmented Generation of Medical Content for Spaced Repetition Learning
by: Kaczmarek, Jeremi I., et al.
Published: (2025)
by: Kaczmarek, Jeremi I., et al.
Published: (2025)
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)
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss
by: Zhang, Bowen, et al.
Published: (2024)
by: Zhang, Bowen, et al.
Published: (2024)
A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications
by: Marom, Ofir
Published: (2025)
by: Marom, Ofir
Published: (2025)
In-Context Optimization for Retrieval-Augmented Generation: A Gradient-Descent Perspective
by: Li, Mingchen, et al.
Published: (2026)
by: Li, Mingchen, et al.
Published: (2026)
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)
A Survey on Retrieval And Structuring Augmented Generation with Large Language Models
by: Jiang, Pengcheng, et al.
Published: (2025)
by: Jiang, Pengcheng, et al.
Published: (2025)
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
by: Li, Xinze, et al.
Published: (2024)
by: Li, Xinze, 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)
RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
Evaluation of Retrieval-Augmented Generation: A Survey
by: Yu, Hao, et al.
Published: (2024)
by: Yu, Hao, et al.
Published: (2024)
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
by: Wang, Yuhao, et al.
Published: (2024)
by: Wang, Yuhao, et al.
Published: (2024)
Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation
by: Wang, Yuhao, et al.
Published: (2025)
by: Wang, Yuhao, et al.
Published: (2025)
SEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical Reasoning
by: Huang, Yongfeng, et al.
Published: (2026)
by: Huang, Yongfeng, et al.
Published: (2026)
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)
Claim-Selective Certification for High-Risk Medical Retrieval-Augmented Generation
by: Kan, Shao
Published: (2026)
by: Kan, Shao
Published: (2026)
Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation
by: Misrahi, Alexandre, et al.
Published: (2025)
by: Misrahi, Alexandre, et al.
Published: (2025)
Reason and Verify: A Framework for Faithful Retrieval-Augmented Generation
by: Khan, Eeham, et al.
Published: (2026)
by: Khan, Eeham, et al.
Published: (2026)
Benchmarking Retrieval-Augmented Generation for Chemistry
by: Zhong, Xianrui, et al.
Published: (2025)
by: Zhong, Xianrui, 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)
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
by: Yu, Xiaohan, et al.
Published: (2025)
by: Yu, Xiaohan, et al.
Published: (2025)
RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models
by: Zhang, Jin, et al.
Published: (2025)
by: Zhang, Jin, et al.
Published: (2025)
Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
by: Yu, Shuo, et al.
Published: (2024)
by: Yu, Shuo, et al.
Published: (2024)
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)
DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented Generation
by: Opoku, David Osei, et al.
Published: (2025)
by: Opoku, David Osei, et al.
Published: (2025)
Similar Items
-
Pursuing Best Industrial Practices for Retrieval-Augmented Generation in the Medical Domain
by: Li, Liz, et al.
Published: (2026) -
HeteroRAG: A Heterogeneous Retrieval-Augmented Generation Framework for Medical Vision Language Tasks
by: Chen, Zhe, 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) -
Retrieval-Augmented Feature Generation for Domain-Specific Classification
by: Zhang, Xinhao, et al.
Published: (2024) -
YpathRAG:A Retrieval-Augmented Generation Framework and Benchmark for Pathology
by: Yu, Deshui, et al.
Published: (2025)