The Mouse Papillomavirus Infection Model
Jake Gittlen Labs Canc Res
- 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

Cutaneous Papillomaviruses and Non-melanoma Skin Cancer: Causal Agents or Innocent Bystanders?
被引用61
被引用33
被引用15
EXPRESSION OF E8^E2 IS REQUIRED FOR WART FORMATION BY MOUSE PAPILLOMAVIRUS 1 IN VIVO.
被引用5
被引用53
A Novel Model for Papillomavirus-Mediated Anal Disease and Cancer Using the Mouse Papillomavirus
被引用13
被引用14
被引用6
被引用3
Cryo EM Analysis Reveals Inherent Flexibility of Authentic Murine Papillomavirus Capsids
被引用2
Linking human papillomavirus to human cancer and understanding its carcinogenic mechanisms
被引用5
Biology of the Human Papillomavirus Life Cycle
被引用0
Role of E6 in Maintaining the Basal Cell Reservoir During Productive Papillomavirus Infection
被引用13
被引用7
被引用2
Small DNA Tumor Viruses and Human Cancer: Preclinical Models of Virus Infection and Disease.
被引用9
被引用3
被引用1
被引用0
被引用0