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Test-Time Unlearning via Sparse Autoencoder

This story is from 2026-09-16. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.16229v1 Announce Type: new Abstract: Machine unlearning aims to remove specific knowledge from a trained large language model (LLM) without retraining from scratch. Existing methods modify model weights via gradient ascent and its advances. While effective on certain benchmarks, these we…

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  1. 2026-09-16 04:00 · arXiv cs.LG
    Test-Time Unlearning via Sparse Autoencoder

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