Recent research has offered insights into the extraordinary capabilities of Large Multimodal
Models (LMMs) in various general vision and language tasks. There is growing interest in …

Abstract Representation learning on graph has been demonstrated to be a powerful tool for
solving real-world problems. Text-attributed graph carries both semantic and structural …

Large Language Models (LLMs) have revolutionized solutions for general natural language
processing (NLP) tasks. However, deploying these models in specific domains still faces …

Online community is composed of communities, users, and user-generated textual content,
with rich information that can help us solve social problems. Previous research hasn't fully …

Predicting roll call votes through modeling political actors has emerged as a focus in
quantitative political science and computer science. Widely used embedding-based …

State bills have a significant impact on various aspects of society, including health,
education, and the economy. Consequently, it is crucial to conduct systematic research on …

Modeling social media users is the core of social governance in the digital society. Existing
works have incorporated different digital traces to better learn the representations of social …

State-level policy decisions significantly influence various aspects of our daily lives, such as
access to healthcare and education. Despite their importance, there is a limited …

Recognizing the discipline category of the abstract text is of great significance for automatic
text recommendation and knowledge mining. Therefore, this study obtained the abstract text …