Recent advances in image captioning have focused on scaling the data and model size,
substantially increasing the cost of pre-training and finetuning. As an alternative to large …

There has been significant attention to the research on dense video captioning which aims
to automatically localize and caption all events within untrimmed video. Several studies …

Inspired by retrieval-augmented language generation and pretrained Vision and Language
(V&L) encoders, we present a new approach to image captioning that generates sentences …

Augmenting traditional genome wide association studies (GWAS) with advanced machine
learning algorithms can allow the detection of novel signals in available cohorts. We …

While image captioning has gained significant attention, the potential of captioning time-
series images, prevalent in areas like finance and healthcare, remains largely untapped …

We propose an end-to-end sentiment-aware conversational agent based on two models: a
reply sentiment prediction model and a text generation model, conditioned on the predicted …