Scholar
Lorenzo Lupo
Google Scholar ID: X3KOx8UAAAAJ
Bocconi University
Citations & Impact
Citations
106
H-index
4
i10-index
4
Publications
14
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors (under review at NeurIps)
- Male agency? Analyzing fatherhood roles in Swedish Parliamentary documents 1993-2021 (under review at Politics & Gender)
- Beyond the Stats: Realities, Perception, and Social Media Discourse on Poverty (AEA Papers and Proceedings 2024)
- DADIT: A Dataset for Demographic Classification of Italian Twitter Users and a Comparison of Prediction Methods (LREC-COLING 2024)
- How to Use LLMs for Text Coding: The Case of Fatherhood Roles in Public Policy Documents (preprint on arXiv)
- Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation (Insights 2023)
- Focused Concatenation for Context-Aware Neural Machine Translation (WMT 2022)
- Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models (ACL 2022)
- Optimistic Policy Optimization via Multiple Importance Sampling (ICML 2019)
Research Experience
- Held research positions at the University of Milan and Bocconi University, currently working as a freelance researcher collaborating with Kai Zhu, Nicolò Cavalli, the MilanNLP research group, and many other researchers.
Education
- PhD in neural machine translation from Grenoble Alpes University.
Background
- An interdisciplinary researcher with expertise in machine learning and natural language processing applied to the social sciences, particularly interested in the societal impacts of AI. Recent work includes evaluating the influence of AI on knowledge platforms such as Wikipedia, investigating LLMs' simulation capabilities of entire demographic groups, and analyzing legal and social media texts to uncover historical trends and shifts in national cultures.
Miscellany
- No personal interests or hobbies mentioned.
