4 citations · 7 across the 5 of their papers we have counts for
5 papers
CRAVE: A Conflicting Reasoning Approach for Explainable Claim Verification Using LLMs
Yingming Zheng, Xiaoliang Liu, Peng Wu +1
The rapid spread of misinformation, driven by digital media and AI-generated content, has made automatic claim verification essential. Traditional methods, which depend on expert-a…
COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain Adaptive Few-shot Fake News Detection
Yi Ouyang, Peng Wu, Li Pan
Most Fake News Detection (FND) methods often struggle with data scarcity for emerging news domain. Recently, prompt learning based on Pre-trained Language Models (PLM) has emerged…
Multimodal Deep Network Embedding with Integrated Structure and Attribute Information
Conghui Zheng, Li Pan, Peng Wu
Network embedding is the process of learning low-dimensional representations for nodes in a network, while preserving node features. Existing studies only leverage network structur…
Mining Application-aware Community Organization with Expanded Feature Subspaces from Concerned Attributes in Social Networks
Peng Wu, Li Pan
Social networks are typical attributed networks with node attributes. Different from traditional attribute community detection problem aiming at obtaining the whole set of communit…
Mining Target Attribute Subspace and Set of Target Communities in Large Attributed Networks
Peng Wu, Li Pan
Community detection provides invaluable help for various applications, such as marketing and product recommendation. Traditional community detection methods designed for plain netw…