Few Shot Learning On Medconceptsqa

Métriques

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
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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Few Shot Learning On Medconceptsqa | SOTA | HyperAI