Outcome of Pregnancy in Women with Primary Sjogren's Syndrome Compared to the General Population: the French Multicenter Prospective GR2 Study
ANNALS OF THE RHEUMATIC DISEASES(2023)
Kremlin Bicetre Hosp | Cochin Hosp | Hop Xavier Bichat | Tours Hosp | Bordeaux Hosp | Hop St Joseph | Rouen Hosp | Mondor Hosp | Nice Hosp | St Antoine Hosp | Poitiers Hosp | Lille Hosp | Metz Hosp | Brest Hosp | Reims Hosp | Hosp St Joseph | Hop Ouest Reun | Polyclin Medipole St Roch | Grenoble Hosp | CHU Felix Guyon | Caen Hosp | Marseille Hosp | Rennes Hosp | St Etienne Hosp | Hop Jean Verdier | Pt Royal Hosp
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
GPU is busy, summary generation fails
Rerequest