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…
AC/DG at Cruciverb-IT: Retrieval-Based Approaches for Italian Crossword Clue Answering (2026 · 1 citation)
The paper tackles Task 1 of Cruciverb-IT (EVALITA 2026): given an Italian crossword clue and the length of the expected answer, a system must return a ranked list of candidate solutions.
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

7 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 14 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated 31 October 2026