Machine Unlearning in Large Language Models

3 February 2024

Papers citing "Machine Unlearning in Large Language Models"

8 / 8 papers shown

Title
ForgetMe: Evaluating Selective Forgetting in Generative Models Zhenyu Yu Mohd Yamani Inda Idris Pei Wang DiffM MU 30 0 0 17 Apr 2025
GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs Kun-Woo Kim Ji-Hoon Park Ju-Min Han Seong-Whan Lee MU PILM 62 0 0 17 Apr 2025
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification Changchang Sun Ren Wang Yihua Zhang Jinghan Jia Jiancheng Liu Gaowen Liu Sijia Liu Yan Yan AAML MU 87 0 0 21 Dec 2024
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate Zhiqi Bu Xiaomeng Jin Bhanukiran Vinzamuri Anil Ramakrishna Kai-Wei Chang V. Cevher Mingyi Hong MU 77 6 0 29 Oct 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models Jinghan Jia Jiancheng Liu Yihua Zhang Parikshit Ram Nathalie Baracaldo Sijia Liu MU 33 2 0 23 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress Pratiksha Thaker Shengyuan Hu Neil Kale Yash Maurya Zhiwei Steven Wu Virginia Smith MU 39 10 0 03 Oct 2024
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models Potsawee Manakul Adian Liusie Mark J. F. Gales HILM LRM 145 386 0 15 Mar 2023
A Survey of Machine Unlearning Thanh Tam Nguyen T. T. Huynh Phi Le Nguyen Alan Wee-Chung Liew Hongzhi Yin Quoc Viet Hung Nguyen MU 77 216 0 06 Sep 2022