Papers by Jan Bronec

1 papers
Thesis Proposal: Targeted and Unified Cross-Lingual Unlearning from Multilingual Language Models (2026.acl-srw)

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Challenge: Large language models trained on corpora scraped from the web can reproduce sensitive and copyright-protected data.
Approach: They propose to extend existing benchmarks to multilingual data by compiling parallel translations of question-answer pairs consisting of real-world facts and synthetic personally identifiable information.
Outcome: The proposed dataset will include translations of question-answer pairs consisting of real-world facts and synthetic personally identifiable information.

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