| 2026 | CHI | CAT-AI: Supporting Teacher Workflows with AI-Assisted Exercise Creation. | Tommaso Cal, Lorenzo Cuccu, Luigi De Russis |
| 2026 | CHI | Measuring the Semantic Accessibility Gap in LLM-Generated Web UIs. | Tommaso Cal, Alexandra-Elena Gurita, Luigi De Russis |
| 2026 | CHI | WebUI-95: A Large-Scale Dataset of Normalized Web Interfaces via UI-to-Code Generation. | Tommaso Cal, Luigi De Russis |
| 2026 | CHI | From Text-First to Structure-First: A Visual Pipeline for Narrative Writing. | Andrea Sillano, Tommaso Cal, Luigi De Russis |
| 2025 | AIED | Beyond Final Answers: Evaluating Large Language Models for Math Tutoring. | Adit Gupta, Jennifer M. Reddig, Tommaso Cal, Daniel Weitekamp III, Christopher J. MacLellan |
| 2025 | CHI | Investigating How Computer Science Researchers Design Their Co-Writing Experiences With AI. | Alberto Monge Roffarello, Tommaso Cal, Luca Scibetta, Luigi De Russis |
| 2025 | EICS | Bridging Web and Figma: Automating Large-Scale UI Dataset Generation for AI-Enhanced Design. | Francesca Russo, Tommaso Cal, Luigi De Russis |
| 2025 | IUI | DeepFlow: A Flow-Based Visual Programming Tool for Deep Learning Development. | Tommaso Cal, Luigi De Russis |
| 2023 | EICS | Merging Creativity with Computation in Sketch-to-Code Transitions. | Tommaso Cal |
| 2023 | EICS | Towards A Visual Programming Tool to Create Deep Learning Models. | Tommaso Cal, Luigi De Russis |
| 2022 | ADBIS | Generating Comparative Explanations of Financial Time Series. | Jacopo Fior, Luca Cagliero, Tommaso Cal |
| 2022 | EICS | Style-Aware Sketch-to-Code Conversion for the Web. | Tommaso Cal, Luigi De Russis |