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Medical Question Answering

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Showing 76–100 of 139 papers

TitleStatusHype
Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study—0
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study—0
Efficient Medical Question Answering with Knowledge-Augmented Question GenerationCode0
MediFact at MEDIQA-M3G 2024: Medical Question Answering in Dermatology with Multimodal LearningCode0
WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction—0
emrQA-msquad: A Medical Dataset Structured with the SQuAD V2.0 Framework, Enriched with emrQA Medical Information—0
Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language ModelsCode2
MedExpQA: Multilingual Benchmarking of Large Language Models for Medical Question Answering—0
MRC-based Nested Medical NER with Co-prediction and Adaptive Pre-training—0
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answeringCode0
OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models—0
JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering CapabilityCode0
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond—0
Benchmarking Retrieval-Augmented Generation for MedicineCode4
KnowTuning: Knowledge-aware Fine-tuning for Large Language ModelsCode1
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsCode2
AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction SimulatorCode2
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language ModelsCode2
MedLM: Exploring Language Models for Medical Question Answering SystemsCode1
Towards Efficient Methods in Medical Question Answering using Knowledge Graph EmbeddingsCode0
Developing ChatGPT for Biology and Medicine: A Complete Review of Biomedical Question Answering—0
Unifying Corroborative and Contributive Attributions in Large Language Models—0
PEFT-MedAware: Large Language Model for Medical Awareness—0
Large Language Models are In-context Teachers for Knowledge Reasoning—0
Continuous Training and Fine-tuning for Domain-Specific Language Models in Medical Question Answering—0
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