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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…
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…
LLM-based Semantic Augmentation for Harmful Content Detection
Elyas Meguellati, Assaad Zeghina, Shazia Sadiq +1
Recent advances in large language models (LLMs) have demonstrated strong performance on simple text classification tasks, frequently under zero-shot settings. However, their effica…
Are Large Language Models Good Data Preprocessors?
Elyas Meguellati, Nardiena Pratama, Shazia Sadiq +1
High-quality textual training data is essential for the success of multimodal data processing tasks, yet outputs from image captioning models like BLIP and GIT often contain errors…
Exploring Wikipedia Gender Diversity Over Time $\unicode{x2013}$ The Wikipedia Gender Dashboard (WGD)
Yahya Yunus, Tianwa Chen, Gianluca Demartini
The Wikipedia editors' community has been actively pursuing the intent of achieving gender equality. To that end, it is important to explore the historical evolution of underlying…