MedQA

Overview edit

Variants: MedQA

Associated Benchmarks

This dataset is used in 1 benchmark:

• Question Answering - Metrics: Accuracy

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environments (2024) -
• MedMobile: A mobile-sized language model with expert-level clinical capabilities (2024) -
• Capabilities of Gemini Models in Medicine (2024) -
• Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks (2024) -
• Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine (2023) -
• MEDITRON-70B: Scaling Medical Pretraining for Large Language Models (2023) -
• BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine (2023) -
• Towards Expert-Level Medical Question Answering with Large Language Models (2023) -
• GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering (2023) -
• Large Language Models Encode Clinical Knowledge (2022) -
• Galactica: A Large Language Model for Science (2022) -
• Deep Bidirectional Language-Knowledge Graph Pretraining (2022) -
• Variational Open-Domain Question Answering (2022) -
• Can large language models reason about medical questions? (2022) -
• LinkBERT: Pretraining Language Models with Document Links (2022) -
• BioBERT: a pre-trained biomedical language representation model for biomedical text mining (2019) -