Recurrent Alcohol-Associated Hepatitis is Common and is Associated with Increased Mortality.
Hepatology(2024)
Hosp Clin Barcelona | Hosp Univ Virgen del Rocio | Hosp Univ Cent Asturias | Univ Autonoma Barcelona | Hosp Santa Creu & Sant Pau | Hosp Univ Ramon y Cajal | Univ Hosp Marques de Valdecilla | Hosp Parc Tauli | Hosp Univ & Politecn La Fe | Hosp Univ 12 Octubre | Hosp Univ Cabuenes | Dept Gastroenterol | Hosp del Mar | Hosp Univ Puerta de Hierro | Hosp Univ Dr Josep Trueta | Clin Univ Hosp | Hosp Univ Mutua Terrassa | Hosp Univ Fdn Alcorcon | Hosp Univ Miguel Servet | Hosp Univ Nuestra Senora de Candelaria | Hosp Univ Toledo | Hosp Virgen de la Victoria | Hosp Univ Salamanca | Hosp Gen Univ Gregorio Maranon | Hosp Univ Burgos | IDIBAPS | Ctr Invest Biomed Red Enfermedades Hepat & Digest | Hosp Univ Santiago
- 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

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