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We present MedConceptsQA, a dedicated open source benchmark for medical concepts question answering.
“A corpus for research in text processing for evidence based medicine”
Diego Mollá, María Santiago-Martínez, Abeed Sarker and Cécile Paris · 2016
Earlier work this paper cites.
“emrQA: A Large Corpus for Question Answering on Electronic Medical Records”
Anusri Pampari, Preethi Raghavan, Jennifer Liang and Jian Peng · 2018
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“PubMedQA: A Dataset for Biomedical Research Question Answering”
Qiao Jin et al · 2019
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“Huggingface’s transformers: State-of-the-art natural language processing”
Thomas Wolf et al · 2019
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“BioBERT: a pre-trained biomedical language representation model for biomedical text mining”
Jinhyuk Lee et al · 2020
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“A large language model for electronic health records”
Xi Yang et al · 2022
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“A survey of large language models”
Wayne Zhao et al · 2023
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“Challenges and applications of large language models”
Jean Kaddour et al · 2023
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“Meditron-70b: Scaling medical pretraining for large language models”
Zeming Chen et al · 2023
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“Biomedgpt: Open multimodal generative pre-trained transformer for biomedicine”
Yizhen Luo et al · 2023
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“Cpllm: Clinical prediction with large language models”
Ofir Shoham and Nadav Rappoport · 2023
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“BioASQ-QA: A manually curated corpus for Biomedical Question Answering”
Anastasia Krithara, Anastasios Nentidis, Konstantinos Bougiatiotis and Georgios Paliouras · 2023
Cited alongside, same era.
“A comparative study of pretrained language models for long clinical text”
Yikuan Li et al · 2023
Later among the works it cites.
“BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains”
Yanis Labrak et al · 2024
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“Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks”
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“Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions”
Yuting He et al · 2024
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“CLUE: A Clinical Language Understanding Evaluation for LLMs”
Amin Dada et al · 2024
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Olumide Ojo et al · 2023
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Josh Achiam et al · 2023
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“Instruction tuning for large language models: A survey”
Shengyu Zhang et al · 2023
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“PyHealth: A Deep Learning Toolkit for Healthcare Predictive Modeling”
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“Large Language Models Are Poor Medical Coders—Benchmarking of Medical Code Querying”
Ali Soroush et al · 2024
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“OpenBioLLMs: Advancing Open-Source Large Language Models for Healthcare and Life Sciences”
Malaikannan Ankit · 2024
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