activity
20242026
most citedHow Do Experts Make Sense of Integrated Process Models?

1 citations · 1 across the 9 of their papers we have counts for

collaborators

9 papers

cs.HC2026

The Impact of AI Generated Content on Decision Making for Topics Requiring Expertise

Shangqian Li, Tianwa Chen, Gianluca Demartini

Modelling users' online decision-making and opinion change is a complex issue that needs to consider users' personal determinants, the nature of the topic and the information retri…

cs.CY2025

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…

cs.IR2025★ 1 cited

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CY2025

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…

cs.LG2024

Fairness without Sensitive Attributes via Knowledge Sharing

Hongliang Ni, Lei Han, Tong Chen +2

While model fairness improvement has been explored previously, existing methods invariably rely on adjusting explicit sensitive attribute values in order to improve model fairness…

cs.CL2024

Hate Speech Detection with Generalizable Target-aware Fairness

Tong Chen, Danny Wang, Xurong Liang +3

To counter the side effect brought by the proliferation of social media platforms, hate speech detection (HSD) plays a vital role in halting the dissemination of toxic online posts…

cs.CY2024

Estimating Gender Completeness in Wikipedia

Hrishikesh Patel, Tianwa Chen, Ivano Bongiovanni +1

Gender imbalance in Wikipedia content is a known challenge which the editor community is actively addressing. The aim of this paper is to provide the Wikipedia community with instr…