5 papers
Beyond Plausible Prediction: Safety Sufficiency in Web World Models
Zhifei Hu, Alexandra I. Cristea, Adel Bibi +1
Web world models increasingly predict the consequences of candidate actions before agents act, yet a plausible predicted future does not necessarily support the correct safety deci…
Exploring AI Peer in Collaborative Mathematics Learning
Yiran Lin, Ye Deng, Ziqi Pan +2
Artificial intelligence (AI) agents are increasingly explored as collaborative learning partners in mathematics education, yet it remains unclear what makes an AI recognizable as a…
PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning
Zhifei Hu, Alexandra I. Cristea
Text-Attributed Graphs (TAGs) combine textual semantics with graph structure and are central to many graph learning tasks. However, existing fusion methods often treat text and str…
GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning
Zhongtian Sun, Anoushka Harit, Alexandra Cristea +2
Graph Neural Networks (GNNs) have demonstrated significant success in learning from graph-structured data but often struggle on heterophilous graphs, where connected nodes differ i…
Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic
Olanrewaju Tahir Aduragba, Alexandra I. Cristea, Pete Phillips +2
During the COVID-19 pandemic, the Church closed its physical doors for the first time in about 800 years, which is, arguably, a cataclysmic event. Other religions have found themse…