Prioritization and Resource Allocation in the Context of the COVID-19 Pandemic. Recommendations for Colorectal and Pancreatic Cancer in Germany
ONCOLOGY RESEARCH AND TREATMENT(2024)
Ruhr Univ Bochum | Institute for History and Ethics of Medicine | Univ Hosp Bonn | Ulm Univ | Staedt Klinikum Karlsruhe | Hosp Boeblingen | Tech Univ Dresden | Sudharz Klinikum Nordhausen | Heidelberg Univ | Department of Gynecology and Obstetrics | Klinikum Aschaffenburg | Goethe Univ Frankfurt | Arbeitskreis Pankreatektomierten AdP eV | Deutsch ILCO eV | Profess Assoc Resident Gastroenterologists BNG | Univ Hosp Halle Saale | Assoc German Tumor Ctr | Ctr Hematol & Oncol Bethanien | Department of Hematology and Oncology with Palliative Care | St Josefs Hosp Wiesbaden | Ludwig Maximilians Univ Munchen | Heinrich Heine Univ | Charite Univ Med Berlin | Krankenhaus Barmerzige Brueder Regensburg | Martin Luther Univ Halle Wittenberg | Jena Univ Hosp | German Canc Soc | Section Translational Medical Ethics | Hannover Med Sch
- 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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