Unlearning in Large Language Models: We Are Not There Yet

The massive adoption of large language models has prompted concerns about how to align them with human ethics and the rule of law. Digital forgetting of undesirable knowledge via machine unlearning is a promising strategy we survey here.

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Publication Details

Journal
Computer
Published
2025-01-01
DOI
https://doi.org/10.1109/mc.2024.3468588
Citations
1
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
2.48

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article

Unlearning in Large Language Models: We Are Not There Yet

Alberto Blanco-Justicia, Najeeb Jebreel, Benet Manzanares-Salor, David Sánchez et al.
1 citations
Computer
Privacy-Preserving Technologies in Data
2.48
article

Unlearning in Large Language Models: We Are Not There Yet

Alberto Blanco-Justicia, Najeeb Jebreel, Benet Manzanares-Salor, David Sánchez, Josep Domingo‐Ferrer
article en
1 citations

Abstract

The massive adoption of large language models has prompted concerns about how to align them with human ethics and the rule of law. Digital forgetting of undesirable knowledge via machine unlearning is a promising strategy we survey here.

ComputerVol. 58(1)
Universitat Rovira i Virgili (ES)
European Commission, Institució Catalana de Recerca i Estudis Avançats, European Regional Development Fund
Reduced inequalities
Openalex Percentile: Top 12%
Privacy-Preserving Technologies in Data
2.48
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