Most topic modeling approaches are based on the bag-of-words assumption, where each
word is required to be conditionally independent in the same document. As a result, both of …

The recent development of recommender systems has a focus on collaborative ranking,
which provides users with a sorted list rather than rating prediction. The sorted item lists can …

Sign language translation (SLT) aims to convert continuous sign language videos into
textual sentences. As a typical multi-modal task, there exists an inherent modality gap …

Knowledge tracing (KT) is a crucial task in online learning, aimed at tracing and predicting
each student's knowledge states throughout their learning process. Over the past decade, it …

During the past few decades, cognitive diagnostics modeling has attracted increasing
attention in computational education communities, which is capable of quantifying the …

Group-level cognitive diagnosis, pivotal in intelligent education, aims to effectively assess
grouplevel knowledge proficiency by modeling the learning behaviors of individuals within …

Abstract Classifier-Free Guidance (CFG) has been widely used in text-to-image diffusion
models where the CFG scale is introduced to control the strength of text guidance on the …

The job interview is considered as one of the most essential tasks in talent recruitment,
which forms a bridge between candidates and employers in fitting the right person for the …

Personality has been considered as a driving factor for work engagement, which
significantly affects people's role performance at work. Although existing research has …

The neural network structures of generative models and their corresponding inference
models paired in variational autoencoders (VAEs) play a critical role in the models' …