People (8) Authors with a page here who worked or studied at Bocconi University, confirmed by their records or by their bylines: first those whose cited work was done most here; beside each, their citations.
Dirk Hovy current · 1970–2026 on 112 papers · employment (ORCID) · employment (Wikidata) 18 papers here · 6 681 citations Debora Nozza current · 2020–2026 on 48 papers 4 papers here · 2 167 citations Paul Rottger current · 2022–2026 on 38 papers · employment (ORCID) 6 papers here · 1 531 citations Federico Bianchi 2020–2022 on 35 papers 4 papers here · 1 238 citations Anne Lauscher 2021–2022 on 9 papers 3 papers here · 923 citations Giuseppe Attanasio 2022–2024 on 11 papers 2 papers here · 432 citations Amanda Cercas Curry 2023–2024 on 10 papers 3 papers here · 32 citations Arianna Muti current · 2025–2026 on 7 papers 3 papers here · 13 citations Also published with this affiliation (5) Matched by the bylines of their papers, not confirmed: few papers there, or a small part of their work.
Emily Dinan 2022 on 2 papers 7 papers here · 6 739 citations Barbara Plank 2021–2024 on 2 papers 18 papers here · 3 283 citations Y-Lan Boureau 2022 on 2 papers 3 papers here · 2 382 citations Verena Rieser 2022–2023 on 3 papers 4 papers here · 2 328 citations Elisa Bassignana current · 2026 on 2 papers 2 papers here · 285 citations Works in our library (10) The most cited first (OpenAlex citations plus our library's).
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence Federico Bianchi, Silvia Terragni, Dirk Hovy 2021 · 365 citations The Importance of Modeling Social Factors of Language: Theory and Practice Dirk Hovy, Diyi Yang 2021 · 234 citations XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models Paul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al. 2023 · 227 citations Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks Paul Röttger, Bertie Vidgen, Dirk Hovy, et al. 2022 · 219 citations Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview Deven Shah, H. Andrew Schwartz, Dirk Hovy 2019 · 201 citations HONEST: Measuring Hurtful Sentence Completion in Language Models Debora Nozza, Federico Bianchi, Dirk Hovy 2021 · 190 citations We Need to Consider Disagreement in Evaluation Valerio Basile, Michael Fell, Tommaso Fornaciari, et al. 2021 · 185 citations Sustainable Modular Debiasing of Language Models Anne Lauscher, Tobias Lueken, Goran Glavaš 2021 · 165 citations Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models Paul Röttger, Valentin Hofmann, Valentina Pyatkin, et al. 2024 · 134 citations Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al. 2023 · 124 citations Topics What its works here are about; the number is its works on the topic.
🧠 Language models & pretraining6 📏 Evaluation & benchmarks3 🛡️ Bias, fairness & safety3
Fields: Natural language processing (8)
Collaborates with Institutions on the bylines of the same works here; the number is the works they share.
Stanford University2 University of Oxford3 Allen Institute for Artificial Intelligence1 Intel1 University of Milan1 Georgia Institute of Technology1 University of Turin1 University of Milano-Bicocca1 The Alan Turing Institute1 University of Mannheim1 Queen Mary University of London1 Stony Brook University1
Works and people from the bylines of the papers (OpenAlex): a person listed here worked or studied at Bocconi University; employment or education is named only where the person's ORCID record or Wikidata says so. Institution data from ROR and OpenAlex.
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