Improved Reference Genome of Aedes Aegypti Informs Arbovirus Vector Control
Nature(2018)SCI 1区
Laboratory of Neurogenetics and Behavior | The Center for Genome Architecture | Pacific Biosciences | National Human Genome Research Institute | Division of Biology and Biological Engineering | Verily Life Sciences | Mortimer B. Zuckerman Mind Brain Behavior Institute | Broad Institute of MIT and Harvard | Department of Ecology and Evolutionary Biology | Vector Biology Department | Department of Pathogen Biology | Department of Entomology | Centre for Respiratory Biology | Department of Microbiology | Bionano Genomics | National Center for Biotechnology Information | Vector Biology and Control Section | Mosquito Control Laboratory | Insect-Virus Interactions Group | Department of Biological and Medical Sciences | Fralin Life Science Institute | Institute of Integrative Biology | Division of Biological Sciences | Laboratory of Evolutionary Genetics and Genomics | Department of Biochemistry
- 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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