Demartini, Gianluca

Perspectives on Large Language Models for Relevance Judgment

Faggioli, G., Dietz, L., Clarke, C. L. A., Demartini, G., Hagen, M., Hauff, C., Kando, N., Kanoulas, E., Potthast, M., Stein, B., et al. (2023) · Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 184

Evaluating the Quality of Learning Resources: A Learnersourcing Approach

Abdi, S., Khosravi, H., Sadiq, S., & Demartini, G. (2021) · IEEE Transactions on Learning Technologies

Online Learning and AnalyticsMobile Crowdsensing and Crowdsourcing

Cited by 40

Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant

He, G., Demartini, G., & Gadiraju, U. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Human-Automation Interaction and SafetyUsability and User Interface Design

Cited by 23

Enhancing peer feedback provision through user interface scaffolding: A comparative examination of scripting and self-monitoring techniques

Lahza, H. F., Demartini, G., Noroozi, O., Gašević, D., Sadiq, S., & Khosravi, H. (2025) · Computers & Education

Student Assessment and FeedbackInnovative Teaching and Learning Methods

Cited by 16

On the State of Reporting in Crowdsourcing Experiments and a Checklist to Aid Current Practices

Ramírez, J., Sayin, B., Baez, M., Casati, F., Cernuzzi, L., Benatallah, B., & Demartini, G. (2021) · Proceedings of the ACM on Human-Computer Interaction

Mobile Crowdsensing and CrowdsourcingOpen Source Software Innovations

Cited by 4