Calculation of the Axion Mass Based on High-Temperature Lattice Quantum Chromodynamics
Nature(2016)SCI 1区
Department of Physics | Institute for Theoretical Physics | Jülich Supercomputing Centre | Institute for Nuclear Research of the Hungarian Academy of Sciences | University of Zaragoza | Deutsches Elektronen-Synchrotron DESY
- 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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