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hi everyone today I will be talking about our walk time adapter adapting image text paining for video question answer which proposes to adapt the patrin image language model to the downstream video question answer task this work focuses on the problem of video question answer the task of video question answer aims to set aims to answer natural language questions based on the information from observed videos there are a variety of previous methods that utilize video text paining to enhance the video question answer task now is for training Large Scale Models usually need a large number of video text PS for example more than 10 million videos and inails expensive computational costs this motivates us to explore cheaper and later alternative patrin models using image based patr model is one potential option as they also align the thematics of vision and language domains compared to video based models image based models offer two docHub advantages first training image based models is