Flavio Giobergia
Flavio Giobergia has 4 papers in our library, in 2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Claudio Savelli, Alkis Koudounas, Moreno La Quatra.
OpenAlex · ORCID · h-index 6 · 70 works · 186 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 14 times in our library · ⭐ Paper Stars ranking: #9425
Affiliations
Fields, topics and concepts
📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 4 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksSocial Sciences · 2 worksSafety Research · 1 workPsychology · 1 workExperimental and Cognitive Psychology · 1 workSocial Psychology · 1 workSociology and Political Science · 1 work
🧭 Topics 3Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- FAME: Fictional Actors for Multilingual Erasure (2026 · 7 citations)
Machine Unlearning methods remove specific knowledge from a trained LLM without retraining it, which is relevant to privacy rights such as GDPR erasure requests. - SVELA at EVALITA 2026: Overview of the Selective Verification of Erasure from LLM Answers Task (2026 · 6 citations)
SVELA, a shared task at EVALITA 2026, addresses how to audit machine unlearning. The question is whether a Large Language Model that has been through an unlearning procedure has actually lost targeted knowledge, which matters for GDPR-style deletion requests. The organizers fine-tuned LLMs on synthetic actor… - ES4MLL at SemEval-2026 Task 2: Set Attention Aggregation and Recurrent Temporal Modeling for Longitudinal Affect Prediction (2026 · 1 citation)
The paper presents the ES4MLL system for SemEval-2026 Task 2. The task asks systems to predict self-reported valence and arousal from users' essays and feeling words written over time. The authors address Subtask 1 (longitudinal affect assessment) and Subtask 2a (forecasting short-term affect change). Their model is… - MALTO at FadeIT: A BERT-Based System for Multi-Label Fallacy Detection in Italian Social Media (2026 · 1 citation)
The paper describes the MALTO team's entry to Subtask A of the FadeIT shared task at EVALITA 2026. The task is to detect, for each Italian social media post, which of 20 fallacy types it contains. A post can carry several fallacies or none, and the labels come from two annotators who sometimes disagree. The data is…
Co-authors here
Venues
- Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop ×2: Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop 2026 ×2
- Language Resources and Evaluation Conference (LREC): LREC 2026
- International Workshop on Semantic Evaluation (SemEval): SemEval 2026
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