Cover Image

BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Mingchen, Kilicoglu, Halil, Xu, Hua, Zhang, Rui
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

When Evidence Conflicts: Uncertainty and Order Effects in Retrieval-Augmented Biomedical Question Answering
by: Han, Yikun, et al.
Published: (2026)

Multi-label Sequential Sentence Classification via Large Language Model
by: Lan, Mengfei, et al.
Published: (2024)

RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements
by: Zhan, Zaifu, et al.
Published: (2024)

Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness
by: Li, Mingchen, et al.
Published: (2024)

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models
by: Yu, Tian, et al.
Published: (2024)

CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
by: Lyu, Yuanjie, et al.
Published: (2024)

A Survey for Large Language Models in Biomedicine
by: Wang, Chong, et al.
Published: (2024)

How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain
by: Li, Mingchen, et al.
Published: (2023)

CancerLLM: A Large Language Model in Cancer Domain
by: Li, Mingchen, et al.
Published: (2024)

CRAB: A Benchmark for Evaluating Curation of Retrieval-Augmented LLMs in Biomedicine
by: Zhong, Hanmeng, et al.
Published: (2025)

A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models
by: Li, Mingchen, et al.
Published: (2024)

AI for Biomedicine in the Era of Large Language Models
by: Bi, Zhenyu, et al.
Published: (2024)

Benchingmaking Large Langage Models in Biomedical Triple Extraction
by: Li, Mingchen, et al.
Published: (2023)

RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
by: An, Bang, et al.
Published: (2025)

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
by: Fan, Wenqi, et al.
Published: (2024)

TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models
by: Cheng, Pengzhou, 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)

DebiasRAG: A Tuning-Free Path to Fair Generation in Large Language Models through Retrieval-Augmented Generation
by: Chu, Rui, et al.
Published: (2026)

Robust Biomedical Publication Type and Study Design Classification with Knowledge-Guided Perturbations
by: Ming, Shufan, et al.
Published: (2026)

In-Context Optimization for Retrieval-Augmented Generation: A Gradient-Descent Perspective
by: Li, Mingchen, et al.
Published: (2026)

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

M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions
by: Wang, Zheng, et al.
Published: (2024)

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation
by: Zou, Deyu, et al.
Published: (2025)

The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models
by: Luo, Zheheng, et al.
Published: (2024)

TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning
by: Ni, Hang, et al.
Published: (2025)

CtrlRAG: Black-box Document Poisoning Attacks for Retrieval-Augmented Generation of Large Language Models
by: Sui, Runqi
Published: (2025)

Equipping Retrieval-Augmented Large Language Models with Document Structure Awareness
by: Xu, Lingnan, et al.
Published: (2025)

OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
by: Sharma, Kartik, et al.
Published: (2024)

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
by: Jeong, Soyeong, et al.
Published: (2024)

LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
by: Zhuang, Luyao, et al.
Published: (2025)

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
by: Li, Mingda, et al.
Published: (2024)

BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation
by: Wang, Yuhao, et al.
Published: (2025)

Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
by: Wang, Fei, et al.
Published: (2024)

Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
by: Islam, Shayekh Bin, et al.
Published: (2024)

RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing
by: Hu, Yucheng, et al.
Published: (2024)

C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
by: Kang, Mintong, et al.
Published: (2024)

Retrieval Augmented Instruction Tuning for Open NER with Large Language Models
by: Xie, Tingyu, et al.
Published: (2024)

DuetRAG: Collaborative Retrieval-Augmented Generation
by: Jiao, Dian, et al.
Published: (2024)

DiMB-RE: Mining the Scientific Literature for Diet-Microbiome Associations
by: Hong, Gibong, et al.
Published: (2024)

Divide-Prompt-Refine: a Training-Free, Structure-Aware Framework for Biomedical Abstract Generation
by: Lin, Sylvey, et al.
Published: (2026)