MedMCQA is a large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions.

This paper introduces MedMCQA, a new large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam ...

The current state-of-the-art on MedMCQA is Med-PaLM 2 (ER). See a full comparison of 22 papers with code.

2 окт. 2023 г. · To do so, we propose a novel approach for generating natural language explanations for answers predicted by medical QA systems. As high-quality ...

A large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions.

This paper introduces MedMCQA, a new large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam ...

The current state-of-the-art on MedQA is Med-Gemini. See a full comparison of 26 papers with code.

This paper introduces FrenchMedMCQA, the first publicly available Multiple-Choice Question Answering (MCQA) dataset in French for medical domain.

Paper: MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering · Leaderboard: paperswithcode.com · Point of Contact ...

MedMCQA is a large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions. 101 PAPERS • 1 ...