With the urgent demand for generalized deep models, many pre-trained big models are
proposed, such as bidirectional encoder representations (BERT), vision transformer (ViT) …

In intelligent education systems, one fundamental task is to predict student performance on
new exercises and estimate the knowledge proficiency of students on knowledge concepts …

Abstract Domain adaptation for 3D point cloud has attracted a lot of interest since it can
avoid the time-consuming labeling process of 3D data to some extent. A recent work named …

Abstract Contrastive Language-Image Pre-training (CLIP) has shown impressive zero-shot
transfer capabilities, but its potential for specific downstream tasks is not fully utilized. To …

The ability of a document classifier to handle inputs that are drawn from a distribution
different from the training distribution is crucial for robust deployment and generalizability …

The zero-shot classification performance of large-scale vision-language pre-training models
(eg, CLIP, BLIP and ALIGN) can be enhanced by incorporating a prompt (eg,“a photo of a …

The increasing prevalence of Visually-rich Documents (VRDs) in diverse domains has led to
a growing interest in Visually-rich Document Understanding (VrDU). Researchers have …

Short text classification task poses challenges in natural language processing due to
insufficient contextual information. This task is typically approached by extracting rich …

The placenta is a valuable organ that can aid in understanding adverse events during
pregnancy and predicting issues post-birth. Manual pathological examination and report …

This paper highlights the need to bring document classification benchmarking closer to real-
world applications, both in the nature of data tested (X: multi-channel, multi-paged, multi …