Lorenzo Lupo

I am a Postdoctoral Research Fellow at Bocconi University, working on natural language processing and its applications to social and economic challenges. Currently, I mostly engage in the MENTALISM project, combining text analysis and machine learning with survey data to track inequality. During my PhD, I worked at Grenoble University on context-aware neural machine translation. Previously, I worked on automatic grammatical error correction at Indigo AI, and on reinforcement learning at Politecnico di Milano. I graduated in mathematical engineering at Politecnico di Milano and Ecole Centrale Paris, and obtained a MS in social and sustainable innovation from Politecnico di Milano.

Publications

DADIT: A Dataset for Demographic Classification of Italian Twitter Users and a Comparison of Prediction Methods
Lorenzo Lupo, Paul Bose, Mahyar Habibi, Dirk Hovy, Carlo Schwarz
LREC-COLING 2024

How to Use LLMs for Text Coding: The Case of Fatherhood Roles in Public Policy Documents
Lorenzo Lupo, Oscar Magnusson, Dirk Hovy, Elin Naurin, Lena Wängnerud
preprint on arXiv

Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation
Lorenzo Lupo, Marco Dinarelli, Laurent Besacier
Insights 2023

Focused Concatenation for Context-Aware Neural Machine Translation
Lorenzo Lupo, Marco Dinarelli, Laurent Besacier
WMT 2022

Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models
Lorenzo Lupo, Marco Dinarelli, Laurent Besacier
ACL 2022

Optimistic Policy Optimization via Multiple Importance Sampling
Matteo Papini, Alberto Metelli, Lorenzo Lupo, Marcello Restelli
ICML 2019

Tutoring

• 11/2023 - current: Alex Lucchini on Mapping the EU Political Landscape on Population Ageing.
• 09/2023 - current: Michele Scarnera on Job Shop Scheduling with Priority Function Embeddings.
• 09/2023 - current: Derya Durmush on the MENTALISM project.
• 02/2021 - 08/2021: Laura Alonzo Canul on Efficient Transformers for long context-aware neural machine translation.

Teaching

• 01/2024 - 03/2024: Computational Methods for Political and Social Sciences
  @ Bocconi University (PhD course)
• 01/2022 - 04/2022: Natural language processing
  @ Polytech Grenoble - Université Grenoble Alpes | assignments (excercice classes, M1)
• 01/2022 - 04/2022: Natural language processing for finance
  @ ENSIMAG - Université Grenoble Alpes | assignments (excercice classes, M2)
• 01/2021 - 04/2021: Natural language processing
  @ Polytech Grenoble - Université Grenoble Alpes | assignments (excercice classes, M1)
• 01/2021 - 04/2021: Natural language processing for finance
  @ ENSIMAG - Université Grenoble Alpes | assignments (excercice classes, M2)

Talks

• 18/03/2024: "Towards Human-Level Text Coding with LLMs"
  @ DAISI Breakfast Bytes , Milan, Italy. Slides here.
• 26/10/2023: "Value Kaleidoscope: Engaging AI with Pluralistic Values" by Sorensen et al.
  @ MilanNLP reading group, Milan, Italy. Slides here.
• 26/10/2023: "The uselessness of AI ethics" by Luke Munn
  @ MilanNLP reading group, Milan, Italy. Slides here.
• 11/05/2023: "One Embedder, Any Task: Instruction-Finetuned Text Embeddings" by Su et al.
  @ MilanNLP reading group, Milan, Italy. Slides here.
• 28/03/2023: Challenges and Remedies for Context-Aware Neural Machine Translation
  @ PhD defence, Grenoble, France. Slides here.
• 07/12/2022: Focused concatenation for context-aware neural machine translation
  @ 7th Conference on Machine Translation, Abu Dhabi, UAE. Slides here.
• 05/12/2022: Towards document-level neural machine translation
  @ MIAI-DAYS 2022, Grenoble, France.
• 23/06/2022: Divide&Rule: pre-training for context-aware multi-encoder translation models
  @ 60th Annual Meeting of the ACL, Dublin, Ireland.
• 05/10/2021: Divide&Rule: pre-training for context-aware multi-encoder translation models
  @ Naver Labs Europe, Grenoble, France.
• 10/07/2021: Recent advances in document-level neural machine translation
  @ LIG-GETALP, Grenoble, France.