Alessandro Trevisan

Alessandro is a PhD student in the Faculty of English at the University of Cambridge. After reading for a BA in English at the University of Bristol and for an MPhil in Digital Humanities at Cambridge, he will be working at the intersection of literary studies and machine learning for his doctoral research. In particular, he will explore the application of deep reinforcement learning (deep RL) to align the responses generated by large language models (LLMs) with human preferences. One of the central questions he will be considering is: how can deep RL techniques be exploited to ‘teach’ an LLM how to adeptly integrate varying degrees of narrativity in its textual outputs? His research is funded by St John’s College’s Benefactors’ Scholarship.