Scholar
Massimo Nicosia
Google Scholar ID: lcYzgzsAAAAJ
Staff Research Engineer at Google DeepMind
Citations & Impact
Citations
3,851
H-index
12
i10-index
14
Publications
20
Co-authors
0
Resume
Academic Achievements
- - Published several papers in top-tier conferences like ECAI, EMNLP, etc.
- - Contributed to Gemini 1.5 and Gemini 2.5 tech reports
- - Won the Zero-Shot MMNLU-22 Semantic Parsing Challenge
- - Co-author of the XTREME-UP benchmark
Research Experience
- - Research Engineer at Google DeepMind, focusing on multimodal understanding capabilities
- - Contribution to Gemini models, particularly in object detection and localization for non-natural images
- - Worked on multilinguality, especially on synthetic data creation for resource-scarce languages
- - Participated in multiple international conferences and workshops, including ACL, EMNLP, etc.
Education
- PhD from the University of Trento, focusing on structural kernels and deep learning methods for Question Answering (QA).
Background
- Research Interests: Multimodal understanding capabilities, especially for non-natural images such as charts and infographics. Professional field: Large language models, multilinguality, synthetic data creation.
Miscellany
- Personal Interest: Mental Health First Aid certification