About Me
Hi! I'm Giorgio Franceschelli. I'm currently a researcher at the Department of Computer Science and Engineering, University of Bologna, working on various areas of Artificial Intelligence, including computational creativity, deep learning and reinforcement learning. I'm interested in anything related to them, from generative modeling and intellectual property to art history, neuroscience and ethics.
Latest News
- April 2025 - Received a PhD in Computer Science and Engineering at University of Bologna with a thesis titled Deep Reinforcement Learning and Creativity.
- April 2025 - Lecturer of “IA generativa e creatività” for the MOOC “L’esplosione dell’Intelligenza Artificiale” offered by University of Urbino.
- March 2025 - Quantum Chemistry Driven Molecular Inverse Design with Data-free Reinforcement Learning, preprint available.
- February 2025 - DiffSampling: Enhancing Diversity and Accuracy in Neural Text Generation, preprint available.
- February 2025 - Thinking Outside the (Gray) Box: A Context-Based Score for Assessing Value and Originality in Neural Text Generation, preprint available.
- November 2024 - On the creativity of large language models published in AI & SOCIETY.
- October 2024 - Panelist for the Back to fundamentals of research: Interdisciplinarity event organized by Istituto di Studi Avanzati (ISA), University of Bologna.
- July 2024 - Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law presented as a spotlight at the ICML 2024 Workshop on Generative AI + Law (GenLaw) ‘24!
- July 2024 - Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law, preprint available.
- June 2024 - Creative Beam Search: LLM-as-a-Judge For Improving Response Generation presented as a poster at ICCC’24!
- May 2024 - Creativity and Machine Learning: A Survey published in ACM Computing Surveys.
- May 2024 - Creative Beam Search: LLM-as-a-Judge For Improving Response Generation, preprint available.
- April 2024 - Panelist for New Technologies, Creativity and Ethical Issues: Copyright Challenges in the Age of AI at Bologna Children’s Book Fair.
- March 2024 - Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning, preprint available.
- February 2024 - Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges published in Journal of Artificial Intelligence Research.
- November 2023 - Short interview for Business Insider on the legality of training generative AI with copyrighted materials.
- November 2023 - ISA Doctoral Prize for interdisciplinary PhD research.
- October 2023 - “Artificial creativity” talk at MilaNLP Lab (Bocconi University).
- October 2023 - Short interview for The Atlantic on opt-out and Generative AI.
- September 2023 - Joining UCL Computer Science for three months as a visiting PhD student.
- September 2023 - On the Creativity of Large Language Models among MAIEI briefs!
- July 2023 - Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges, preprint available.
- June 2023 - Short interview for IEEE Spectrum on AI and Intellectual Property.
- April 2023 - On the Creativity of Large Language Models, preprint available.
- April 2023 - Short interview for The Atlantic on Chatbots and Creativity.
- December 2022 - DeepCreativity: Measuring Creativity with Deep Learning Techniques published in IOS Press, Intelligenza Artificiale.
- November 2022 - Short interview for The Verge on AI and copyright.
- November 2022 - “Opere d’arte e intelligenza artificiale. Il curioso caso del diritto d’autore” workshop at Accademia di Belle Arti di Verona.
- July 2022 - “Copyright in Generative Machine Learning” webinar at MIT Media Lab.
- May 2022 - Copyright in Generative Deep Learning published in Cambridge Press, Data&Policy.
- February 2022 - “Machine Creativity and the Law” webinar at Adobe.
- January 2022 - DeepCreativity: Measuring Creativity with Deep Learning Techniques, preprint available.
- December 2021 - Master’s dissertation presented at AIxIA 2021.
- November 2021 - Master’s dissertation Generative Deep Learning and Creativity awarded as best Master’s thesis by the Italy Association for Artificial Intelligence (AIxIA award Leonardo Lesmo).
- November 2021 - Starting of PhD in Computer Science and Engineering at University of Bologna.
- May 2021 - Copyright in Generative Deep Learning, preprint available.
- April 2021 - Creativity and Machine Learning: A Survey, preprint available.
- Februray 2021 - Graduated in Computer Engineering at University of Bologna cum laude.