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Machine unlearning

4 open-access journal articles on machine unlearning, published in 2026 in Life of Research. Every record is free to read and download, with a permanent link and a ready-made citation.

4 records

Journal article

Four Things Called Forgetting: Interference, Transience, Reset and Unlearning Remove Different Things, Why Forgetting Looks Easy by Accident and Hard on Purpose Only Under Different Instruments, and the Savings Measurement That Would Tell Them Apart

Machine learning uses one word for four operations. Catastrophic forgetting is damage that fine-tuning does to earlier capabilities. Transience is the fading of individual training examples during ordinary training.

Cite Related research LOR-00058 · 6 views · 7 downloads
PDF13.7 MB

Journal article

Delete Names Five Operations: Erasure Semantics for Derived Agent Memory, and Why a State-Level Definition Cannot Be the Auditable One

Persistent memory has become a standard component of language-model agents, and with it a standard assumption: that where a fact lives in a retrievable store rather than in weights, erasing it is a solved problem, because a store supports deletion and weights do not. Agent memory does not hold the…

Cite Related research LOR-00065 · 6 views · 12 downloads
PDF469.7 KB

Journal article

Delete Names Five Operations: Erasure Semantics for Derived Agent Memory, and Why a State-Level Definition Cannot Be the Auditable One

Persistent memory has become a standard component of language-model agents, and with it a standard assumption: that where a fact lives in a retrievable store rather than in weights, erasing it is a solved problem, because a store supports deletion and weights do not. Agent memory does not hold the…

Cite Related research LOR-00030 · 8 views · 8 downloads
PDF467.5 KB

Journal article

Three Guarantees Under One Word: What Importance-Based Selective Forgetting in Language Models Can and Cannot Promise

Unlearning methods are asked to deliver a guarantee, and the word is used for three different ones: that a model's outputs no longer reveal the target under some stated class of queries, that the target is absent from the weights, and that no adversary within a stated budget can restore it. This…

Cite Related research LOR-00038 · 5 views · 7 downloads
PDF483.5 KB

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