Copertina

Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Yubo, Ma, Xueguang, Chen, Wenhu
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
di: Jiang, Ziyan, et al.
Pubblicazione: (2024)

Efficient Medical Question Answering with Knowledge-Augmented Question Generation
di: Khlaut, Julien, et al.
Pubblicazione: (2024)

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

QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs
di: Kim, Minsang, et al.
Pubblicazione: (2024)

Retrieval Augmented Question Answering: When Should LLMs Admit Ignorance?
di: Wang, Dingmin, et al.
Pubblicazione: (2025)

Black-box Model Ensembling for Textual and Visual Question Answering via Information Fusion
di: Xia, Yuxi, et al.
Pubblicazione: (2024)

Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs
di: Vladika, Juraj, et al.
Pubblicazione: (2025)

Fine-Tuning LLMs for Reliable Medical Question-Answering Services
di: Anaissi, Ali, et al.
Pubblicazione: (2024)

LLM Robustness Against Misinformation in Biomedical Question Answering
di: Bondarenko, Alexander, et al.
Pubblicazione: (2024)

Mind the Ambiguity: Aleatoric Uncertainty Quantification in LLMs for Safe Medical Question Answering
di: Liu, Yaokun, et al.
Pubblicazione: (2026)

Condition-Gated Reasoning for Context-Dependent Biomedical Question Answering
di: Parekh, Jash Rajesh, et al.
Pubblicazione: (2026)

Question Answering on Patient Medical Records with Private Fine-Tuned LLMs
di: Kothari, Sara, et al.
Pubblicazione: (2025)

RAG-BioQA: A Retrieval-Augmented Generation Framework for Long-Form Biomedical Question Answering
di: Panchumarthi, Lovely Yeswanth, et al.
Pubblicazione: (2025)

RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering
di: Sivakumar, Aswini, et al.
Pubblicazione: (2026)

OLAPH: Improving Factuality in Biomedical Long-form Question Answering
di: Jeong, Minbyul, et al.
Pubblicazione: (2024)

AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
di: Wang, Ziqing, et al.
Pubblicazione: (2025)

Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering
di: Chowdhury, Arijit Ghosh, et al.
Pubblicazione: (2023)

Evaluating Multimodal Large Language Models on Educational Textbook Question Answering
di: Alawwad, Hessa A., et al.
Pubblicazione: (2025)

K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor
di: Cho, Jeonghun, et al.
Pubblicazione: (2025)

Expert-Guided Prompting and Retrieval-Augmented Generation for Emergency Medical Service Question Answering
di: Ge, Xueren, et al.
Pubblicazione: (2025)

Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs
di: Chen, Yingjian, et al.
Pubblicazione: (2025)

Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration
di: Qian, Cheng, et al.
Pubblicazione: (2024)

MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
di: Cabello, Laura, et al.
Pubblicazione: (2024)

To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering
di: Zhan, Zaifu, et al.
Pubblicazione: (2026)

Augmenting Question Answering with A Hybrid RAG Approach
di: Yang, Tianyi, et al.
Pubblicazione: (2026)

Biomedical Entity Linking as Multiple Choice Question Answering
di: Lin, Zhenxi, et al.
Pubblicazione: (2024)

CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering
di: Wiratunga, Nirmalie, et al.
Pubblicazione: (2024)

Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering
di: Liu, Jiaxiang, et al.
Pubblicazione: (2024)

MedEthicsQA: A Comprehensive Question Answering Benchmark for Medical Ethics Evaluation of LLMs
di: Wei, Jianhui, et al.
Pubblicazione: (2025)

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
di: Zhang, Yichi, et al.
Pubblicazione: (2023)

Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering
di: Ngo, Nghia Trung, et al.
Pubblicazione: (2024)

A Benchmark for Long-Form Medical Question Answering
di: Hosseini, Pedram, et al.
Pubblicazione: (2024)

Automated Detection of Pre-training Text in Black-box LLMs
di: Hu, Ruihan, et al.
Pubblicazione: (2025)

Automatic Evaluation of Healthcare LLMs Beyond Question-Answering
di: Arias-Duart, Anna, et al.
Pubblicazione: (2025)

A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering
di: Sultana, Nusrat, et al.
Pubblicazione: (2026)

MedTrust-RAG: Evidence Verification and Trust Alignment for Biomedical Question Answering
di: Ning, Yingpeng, et al.
Pubblicazione: (2025)

Multilingual Medical Reasoning for Question Answering with Large Language Models
di: Ferrazzi, Pietro, et al.
Pubblicazione: (2025)

Uncertainty Estimation of Large Language Models in Medical Question Answering
di: Wu, Jiaxin, et al.
Pubblicazione: (2024)

Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering
di: Wang, Changjian, et al.
Pubblicazione: (2025)

60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering
di: Ye, Junjie, et al.
Pubblicazione: (2024)