A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support
Fuente:
arXiv
Saved in:
| Main Authors: | Feng, Yichun, Wang, Jiawei, He, Ruikun, Zhou, Lu, Li, Yixue |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Real-World Doctor Agent with Proactive Consultation through Multi-Agent Reinforcement Learning
by: Feng, Yichun, et al.
Published: (2025)
by: Feng, Yichun, et al.
Published: (2025)
BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence
by: Jin, Jiajie, et al.
Published: (2024)
by: Jin, Jiajie, et al.
Published: (2024)
KAG-Thinker: Interactive Thinking and Deep Reasoning in LLMs via Knowledge-Augmented Generation
by: Zhang, Dalong, et al.
Published: (2025)
by: Zhang, Dalong, et al.
Published: (2025)
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
by: Chen, Qizhou, et al.
Published: (2024)
by: Chen, Qizhou, et al.
Published: (2024)
From Sufficiency to Reflection: Reinforcement-Guided Thinking Quality in Retrieval-Augmented Reasoning for LLMs
by: He, Jie, et al.
Published: (2025)
by: He, Jie, et al.
Published: (2025)
DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains
by: Xiao, Yongkang, et al.
Published: (2025)
by: Xiao, Yongkang, et al.
Published: (2025)
Streamlining Biomedical Research with Specialized LLMs
by: Chen, Linqing, et al.
Published: (2025)
by: Chen, Linqing, et al.
Published: (2025)
Are LLMs Really Not Knowledgeable? Mining the Submerged Knowledge in LLMs' Memory
by: Tao, Xingjian, et al.
Published: (2024)
by: Tao, Xingjian, et al.
Published: (2024)
SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation
by: Hu, Minda, et al.
Published: (2024)
by: Hu, Minda, et al.
Published: (2024)
LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search
by: Jin, Qiao, et al.
Published: (2023)
by: Jin, Qiao, et al.
Published: (2023)
Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning
by: Shi, Yaorui, et al.
Published: (2025)
by: Shi, Yaorui, et al.
Published: (2025)
STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation
by: Yu, Peng, et al.
Published: (2026)
by: Yu, Peng, et al.
Published: (2026)
A Survey on Knowledge-Oriented Retrieval-Augmented Generation
by: Cheng, Mingyue, et al.
Published: (2025)
by: Cheng, Mingyue, et al.
Published: (2025)
MedRAGChecker: Claim-Level Verification for Biomedical Retrieval-Augmented Generation
by: Ji, Yuelyu, et al.
Published: (2026)
by: Ji, Yuelyu, et al.
Published: (2026)
On-the-fly Definition Augmentation of LLMs for Biomedical NER
by: Munnangi, Monica, et al.
Published: (2024)
by: Munnangi, Monica, et al.
Published: (2024)
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
by: Ma, Shengjie, et al.
Published: (2024)
by: Ma, Shengjie, et al.
Published: (2024)
Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation
by: Zhang, Linhai, et al.
Published: (2025)
by: Zhang, Linhai, et al.
Published: (2025)
FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs
by: Gao, Zengyi, et al.
Published: (2025)
by: Gao, Zengyi, et al.
Published: (2025)
Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs
by: Yu, Shuyang, et al.
Published: (2024)
by: Yu, Shuyang, et al.
Published: (2024)
Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation
by: Yuan, Dun, et al.
Published: (2025)
by: Yuan, Dun, et al.
Published: (2025)
Lightweight Clinical Decision Support System using QLoRA-Fine-Tuned LLMs and Retrieval-Augmented Generation
by: Ansari, Mohammad Shoaib, et al.
Published: (2025)
by: Ansari, Mohammad Shoaib, et al.
Published: (2025)
CommunityKG-RAG: Leveraging Community Structures in Knowledge Graphs for Advanced Retrieval-Augmented Generation in Fact-Checking
by: Chang, Rong-Ching, et al.
Published: (2024)
by: Chang, Rong-Ching, et al.
Published: (2024)
Retrieval-Augmented Machine Translation with Unstructured Knowledge
by: Wang, Jiaan, et al.
Published: (2024)
by: Wang, Jiaan, et al.
Published: (2024)
HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making
by: Anjum, Sumera, et al.
Published: (2024)
by: Anjum, Sumera, et al.
Published: (2024)
RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation
by: Xu, Ran, et al.
Published: (2025)
by: Xu, Ran, et al.
Published: (2025)
Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
by: Ning, Yunfeng, et al.
Published: (2025)
by: Ning, Yunfeng, et al.
Published: (2025)
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation
by: Ni, Shiyu, et al.
Published: (2024)
by: Ni, Shiyu, et al.
Published: (2024)
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning
by: Zhan, Zaifu, et al.
Published: (2025)
by: Zhan, Zaifu, et al.
Published: (2025)
Path Pooling: Training-Free Structure Enhancement for Efficient Knowledge Graph Retrieval-Augmented Generation
by: Wang, Hairu, et al.
Published: (2025)
by: Wang, Hairu, et al.
Published: (2025)
Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs
by: Shang, Tianqi, et al.
Published: (2024)
by: Shang, Tianqi, et al.
Published: (2024)
Biomedical Literature Q&A System Using Retrieval-Augmented Generation (RAG)
by: Garg, Mansi, et al.
Published: (2025)
by: Garg, Mansi, et al.
Published: (2025)
Tracking the Limits of Knowledge Propagation: How LLMs Fail at Multi-Step Reasoning with Conflicting Knowledge
by: Feng, Yiyang, et al.
Published: (2026)
by: Feng, Yiyang, et al.
Published: (2026)
Can Frontier LLMs Replace Annotators in Biomedical Text Mining? Analyzing Challenges and Exploring Solutions
by: Zhao, Yichong, et al.
Published: (2025)
by: Zhao, Yichong, et al.
Published: (2025)
Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
by: Wang, Yubo, et al.
Published: (2023)
by: Wang, Yubo, et al.
Published: (2023)
Think-then-Act: A Dual-Angle Evaluated Retrieval-Augmented Generation
by: Shen, Yige, et al.
Published: (2024)
by: Shen, Yige, et al.
Published: (2024)
SkewRoute: Training-Free LLM Routing for Knowledge Graph Retrieval-Augmented Generation via Score Skewness of Retrieved Context
by: Wang, Hairu, et al.
Published: (2025)
by: Wang, Hairu, et al.
Published: (2025)
Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains
by: Wu, Juncheng, et al.
Published: (2025)
by: Wu, Juncheng, et al.
Published: (2025)
Retrieval-Augmented and Knowledge-Grounded Language Models for Faithful Clinical Medicine
by: Liu, Fenglin, et al.
Published: (2022)
by: Liu, Fenglin, et al.
Published: (2022)
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities
by: Mai, Chengcheng, et al.
Published: (2024)
by: Mai, Chengcheng, et al.
Published: (2024)
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness
by: Wang, Yuqi, et al.
Published: (2024)
by: Wang, Yuqi, et al.
Published: (2024)
Similar Items
-
Real-World Doctor Agent with Proactive Consultation through Multi-Agent Reinforcement Learning
by: Feng, Yichun, et al.
Published: (2025) -
BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence
by: Jin, Jiajie, et al.
Published: (2024) -
KAG-Thinker: Interactive Thinking and Deep Reasoning in LLMs via Knowledge-Augmented Generation
by: Zhang, Dalong, et al.
Published: (2025) -
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
by: Chen, Qizhou, et al.
Published: (2024) -
From Sufficiency to Reflection: Reinforcement-Guided Thinking Quality in Retrieval-Augmented Reasoning for LLMs
by: He, Jie, et al.
Published: (2025)