Digital Media and Developing Brains: Concerns and Opportunities
Current Addiction Reports(2024)
University of Texas Southwestern Medical Center | Amsterdam School of Communication Research ASCoR | Addiction Institute | Fordham University | Stony Brook University | Temple University | University of Washington | Northwestern University | Eunice Kennedy Shriver National Institute of Child Health and Human Development | Indiana University School of Medicine | Nottingham Trent University | Drexel University | University of North Carolina Greensboro | Laureate Institute for Brain Research | Brook University | University of Maryland College Park | New York University | California State University | Ariel University | University of Montreal | Children and Screens: Institute of Digital Media and Child Development | Connecticut Mental Health Center
- 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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