#French Biomedical Large Language Understanding Benchmark now publicly available.

A group of researchers in France introduced DrBenchmark to evaluate masked language models in French, particularly in the biomedical domain. Evaluating these models has been challenging due to variations in protocols and the lack of benchmarks in languages other than English and Chinese. DrBenchmark addresses this gap by providing a comprehensive benchmark with 20 tasks, allowing for the assessment of pre-trained language models from various perspectives. The study tests eight cutting-edge models on general and biomedical data, highlighting the importance of domain-specific models for optimal performance in the biomedical field. The results show that while French biomedical models perform well in most tasks, models trained in different languages can still compete in specific tasks. DrBenchmark offers a reproducible protocol for fair model comparison, leveraging HuggingFace Datasets and the Transformers library. The paper emphasizes the need for more research in this area and provides a valuable resource for evaluating French biomedical NLP models. For more information, readers can access the paper and project page linked in the content.

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Source link: https://www.marktechpost.com/2024/04/29/drbenchmark-the-first-ever-publicly-available-french-biomedical-large-language-understanding-benchmark/?amp