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SOTA
少样本学习
Few Shot Learning On Medconceptsqa
Few Shot Learning On Medconceptsqa
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Accuracy
Paper Title
Repository
gpt-4-0125-preview
61.911
GPT-4 Technical Report
gpt-3.5-turbo
41.476
Language Models are Few-Shot Learners
meta-llama/Meta-Llama-3-8B-Instruct
25.653
LLaMA: Open and Efficient Foundation Language Models
johnsnowlabs/JSL-MedMNX-7B
25.627
MedConceptsQA: Open Source Medical Concepts QA Benchmark
yikuan8/Clinical-Longformer
25.547
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences
dmis-lab/biobert-v1.1
25.458
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
epfl-llm/meditron-70b
25.262
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
HuggingFaceH4/zephyr-7b-beta
25.058
Zephyr: Direct Distillation of LM Alignment
BioMistral/BioMistral-7B-DARE
25.058
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
dmis-lab/meerkat-7b-v1.0
24.942
Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks
-
PharMolix/BioMedGPT-LM-7B
24.924
BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine
epfl-llm/meditron-7b
23.787
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
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