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Unlearning in Large Language Models: We Are Not There Yet
Alberto Blanco-Justicia, Josep Domingo-Ferrer, Najeeb Moharram Jebreel, Benet Manzanares-Salor, David Sánchez
Intelligence
Status: succeeded | Model: google/gemini-3.1-flash-lite-preview | Prompt: intel-v1 | Confidence: 97%
Last extracted: 3/12/2026, 6:04:39 PM
Summary
The paper discusses the challenges and current state of machine unlearning in large language models, highlighting it as a critical strategy for aligning AI with human ethics and legal requirements.
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Machine Unlearning → appliedto → Large Language Models
confidence 95% · Digital forgetting of undesirable knowledge via machine unlearning is a promising strategy we survey here.
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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.
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