Abstract Large Language Models (LLMs) have emerged as powerful tools in the field of
Natural Language Processing (NLP) and have recently gained significant attention in the …

With the information explosion on the Web, search and recommendation are foundational
infrastructures to satisfying users' information needs. As the two sides of the same coin, both …

Fake news detection plays a crucial role in protecting social media users and maintaining a
healthy news ecosystem. Among existing works, comment-based fake news detection …

Graph neural networks (GNNs) have emerged as state-of-the-art methods to learn from
graph-structured data for recommendation. However, most existing GNN-based …

Recommender systems (RS) serve as a fundamental tool for navigating the vast expanse of
online information, with deep learning advancements playing an increasingly important role …

Large language models (LLMs) have demonstrated prominent reasoning capabilities in
recommendation tasks by transforming them into text-generation tasks. However, existing …

Large-scale" pre-train and prompt learning" paradigms have demonstrated remarkable
adaptability, enabling broad applications across diverse domains such as question …

In implicit emotion analysis (IEA), the subtlety of emotional expressions makes it particularly
sensitive to user-specific characteristics. Existing studies often inject personalization into the …