24 citations · 62 across the 35 of their papers we have counts for
12 papers · 1 filter
LLM-Generated Ads: From Personalization Parity to Persuasion Superiority
Elyas Meguellati, Stefano Civelli, Lei Han +3
As large language models (LLMs) become increasingly capable of generating persuasive content, understanding their effectiveness across different advertising strategies becomes crit…
Learning A Universal Crime Predictor with Knowledge-guided Hypernetworks
Fidan Karimova, Tong Chen, Yu Yang +1
Predicting crimes in urban environments is crucial for public safety, yet existing prediction methods often struggle to align the knowledge across diverse cities that vary dramatic…
From Misunderstandings to Learning Opportunities: Leveraging Generative AI in Discussion Forums to Support Student Learning
Stanislav Pozdniakov, Jonathan Brazil, Oleksandra Poquet +4
In the contemporary educational landscape, particularly in large classroom settings, discussion forums have become a crucial tool for promoting interaction and addressing student q…
When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation
Zongwei Wang, Min Gao, Junliang Yu +3
Graph Contrastive Learning (GCL) has demonstrated substantial promise in enhancing the robustness and generalization of recommender systems, particularly by enabling models to leve…
Are Synthetic Videos Useful? A Benchmark for Retrieval-Centric Evaluation of Synthetic Videos
Zecheng Zhao, Selena Song, Tong Chen +3
Text-to-video (T2V) synthesis has advanced rapidly, yet current evaluation metrics primarily capture visual quality and temporal consistency, offering limited insight into how synt…
How Do Experts Make Sense of Integrated Process Models?
Tianwa Chen, Barbara Weber, Graeme Shanks +3
A range of integrated modeling approaches have been developed to enable a holistic representation of business process logic together with all relevant business rules. These approac…