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Zero Shot Learning On Medconceptsqa

Métriques

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
Accuracy
Paper TitleRepository
gpt-4-0125-preview52.489GPT-4 Technical Report
yikuan8/Clinical-Longformer25.040Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences
PharMolix/BioMedGPT-LM-7B24.747BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine
UFNLP/gatortron-medium24.862GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records-
HuggingFaceH4/zephyr-7b-beta25.538Zephyr: Direct Distillation of LM Alignment
dmis-lab/meerkat-7b-v1.025.680Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks-
johnsnowlabs/JSL-MedMNX-7B24.427--
meta-llama/Meta-Llama-3-8B-Instruct25.840LLaMA: Open and Efficient Foundation Language Models
BioMistral/BioMistral-7B-DARE24.569BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
epfl-llm/meditron-70b25.360MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
gpt-3.5-turbo37.058Language Models are Few-Shot Learners
epfl-llm/meditron-7b25.751MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
dmis-lab/biobert-v1.126.151BioBERT: a pre-trained biomedical language representation model for biomedical text mining
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