First Presentation: EvaLMM -- Evaluating LMMs on common sense and factuality

Speakers: Nicola Messina, Giovanni Puccetti (CNR in Pisa)

Nicola Messina is currently a researcher at the Artificial Intelligence  for Media and Humanities (AIMH) of the Information Science and Technologies Institute (ISTI) of the Italian CNR in Pisa. He received his Master’s Degree in Computer Engineering in 2018 at the University of Pisa and his Ph.D. in Information Engineering from the same university in 2022. He is presently researching deep learning methods for relational understanding in multimedia data, with particular emphasis on transformer-based architectures for effective and efficient cross-modal analysis and retrieval on images, texts, and videos. He is also interested in attentive deep learning models for anomaly detection, visual counting, and open-vocabulary object detection. 

Giovanni Puccetti is a post-doc researcher at Information Science and Technologies Institute (ISTI) of the CNR, Pisa. He received his PhD in Data Science in 2023 from Scuola Normale Superiore in Pisa. His main research interests focus on Large Language Models based on transformers and their impact on society, in particular he is interested in mechanistic interpretability, continued pre-training and adaptation to the Italian language. He is also interested in the detection of synthetic texts generated from large language models to mitigate their potential negative impact on society.

Second Presentation: LLMAKER - An LLM-powered Design Assistant for Video Games

Speaker: Roberto Gallotta (University of Malta)

Roberto Gallotta is a first-year Ph.D. student at the Institute of Digital Games, University of Malta (UM), researching dynamic evolutionary computation and mixed-initiative co-creation for the aide of video game designers. Prior to joining the Institute of Digital Games, UM, he was a junior researcher at Araya Inc., Tokyo, for a year.