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Unlearning That Lasts: Utility-Preserving, Robust, and Almost Irreversible Forgetting in LLMs

Unlearning That Lasts: Utility-Preserving, Robust, and Almost Irreversible Forgetting in LLMs

2 September 2025
Naman D. Singh
Maximilian Müller
Francesco Croce
Matthias Hein
    MUKELMCLL
ArXiv (abs)PDFHTMLGithub (2★)

Papers citing "Unlearning That Lasts: Utility-Preserving, Robust, and Almost Irreversible Forgetting in LLMs"

4 / 4 papers shown
A Survey on Unlearning in Large Language Models
A Survey on Unlearning in Large Language Models
Ruichen Qiu
Jiajun Tan
Jiayue Pu
Honglin Wang
Xiao-Shan Gao
Fei Sun
MUAILawPILM
666
0
0
29 Oct 2025
LLM Unlearning Under the Microscope: A Full-Stack View on Methods and Metrics
LLM Unlearning Under the Microscope: A Full-Stack View on Methods and Metrics
Chongyu Fan
Changsheng Wang
Yancheng Huang
Soumyadeep Pal
Sijia Liu
MUELM
195
0
0
08 Oct 2025
Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning
Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning
Yicheng Lang
Yihua Zhang
Chongyu Fan
Changsheng Wang
Jinghan Jia
Sijia Liu
MU
357
0
0
01 Oct 2025
Understanding the Dilemma of Unlearning for Large Language Models
Understanding the Dilemma of Unlearning for Large Language Models
Qingjie Zhang
Haoting Qian
Zhicong Huang
Cheng Hong
Shiyu Huang
Ke Xu
Chao Zhang
Han Qiu
MU
259
1
0
29 Sep 2025
1