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SotA/Methodology/Meta-Learning/MedConceptsQA

Meta-Learning on MedConceptsQA

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼AugmentationsPaperDate↕Code
1gpt-4-0125-preview61.911NoGPT-4 Technical Report2023-03-15Code
2gpt-3.5-turbo41.476NoLanguage Models are Few-Shot Learners2020-05-28Code
3meta-llama/Meta-Llama-3-8B-Instruct25.653NoLLaMA: Open and Efficient Foundation Language Mo...2023-02-27Code
4johnsnowlabs/JSL-MedMNX-7B25.627NoMedConceptsQA: Open Source Medical Concepts QA B...2024-05-12Code
5yikuan8/Clinical-Longformer25.547NoClinical-Longformer and Clinical-BigBird: Transf...2022-01-27Code
6dmis-lab/biobert-v1.125.458NoBioBERT: a pre-trained biomedical language repre...2019-01-25Code
7epfl-llm/meditron-70b25.262NoMEDITRON-70B: Scaling Medical Pretraining for La...2023-11-27Code
8BioMistral/BioMistral-7B-DARE25.058NoBioMistral: A Collection of Open-Source Pretrain...2024-02-15Code
9HuggingFaceH4/zephyr-7b-beta25.058NoZephyr: Direct Distillation of LM Alignment2023-10-25Code
10dmis-lab/meerkat-7b-v1.024.942NoSmall Language Models Learn Enhanced Reasoning S...2024-03-30-
11PharMolix/BioMedGPT-LM-7B24.924NoBioMedGPT: Open Multimodal Generative Pre-traine...2023-08-18Code
12epfl-llm/meditron-7b23.787NoMEDITRON-70B: Scaling Medical Pretraining for La...2023-11-27Code