Cover Image

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Yujie, Yang, Chengyi, Xiang, Zhishang, Song, Yiping, Su, Jinsong
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Model Unlearning
by: Yao, Yuanshun, et al.
Published: (2023)

TTCS: Test-Time Curriculum Synthesis for Self-Evolving
by: Yang, Chengyi, et al.
Published: (2026)

Hierarchical Federated Unlearning for Large Language Models
by: Zhong, Yisheng, et al.
Published: (2025)

Offset Unlearning for Large Language Models
by: Huang, James Y., et al.
Published: (2024)

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
by: Jin, Zhuoran, et al.
Published: (2024)

LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models
by: Veldanda, Akshaj Kumar, et al.
Published: (2024)

Soft Prompting for Unlearning in Large Language Models
by: Bhaila, Karuna, et al.
Published: (2024)

Multi-Objective Large Language Model Unlearning
by: Pan, Zibin, et al.
Published: (2024)

Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
by: Yuan, Hongbang, et al.
Published: (2024)

A Closer Look at Machine Unlearning for Large Language Models
by: Yuan, Xiaojian, et al.
Published: (2024)

Large Language Model Unlearning via Embedding-Corrupted Prompts
by: Liu, Chris Yuhao, et al.
Published: (2024)

Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
by: Tang, Haoyu, et al.
Published: (2024)

A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty
by: Feng, Xiaohua, et al.
Published: (2025)

Existing Large Language Model Unlearning Evaluations Are Inconclusive
by: Feng, Zhili, et al.
Published: (2025)

Machine Unlearning of Pre-trained Large Language Models
by: Yao, Jin, et al.
Published: (2024)

Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models
by: Li, Hongji, et al.
Published: (2025)

To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
by: Tian, Bozhong, et al.
Published: (2024)

Few-Shot Recalibration of Language Models
by: Li, Xiang Lisa, et al.
Published: (2024)

Geometric-disentangelment Unlearning
by: Zhou, Duo, et al.
Published: (2025)

Robust LLM Unlearning with MUDMAN: Meta-Unlearning with Disruption Masking And Normalization
by: Sondej, Filip, et al.
Published: (2025)

Does Machine Unlearning Truly Remove Knowledge?
by: Chen, Haokun, et al.
Published: (2025)

GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models
by: Niu, Peizhi, et al.
Published: (2025)

Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models
by: Entesari, Taha, et al.
Published: (2025)

Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models
by: Gu, Kang, et al.
Published: (2024)

Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs
by: Xu, Xiaoyu, et al.
Published: (2025)

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
by: Zhang, Ruiqi, et al.
Published: (2024)

FIT to Forget: Robust Continual Unlearning for Large Language Models
by: Xu, Xiaoyu, et al.
Published: (2026)

OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
by: Xu, Xiaoyu, et al.
Published: (2025)

Agent Instructs Large Language Models to be General Zero-Shot Reasoners
by: Crispino, Nicholas, et al.
Published: (2023)

SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
by: Xu, Tianyang, et al.
Published: (2025)

To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
by: Barbulescu, George-Octavian, et al.
Published: (2024)

CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept
by: Wu, YuXuan, et al.
Published: (2024)

Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs
by: Kadhe, Swanand Ravindra, et al.
Published: (2024)

Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
by: Fan, Chongyu, et al.
Published: (2024)

zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models
by: Ding, Zifeng, et al.
Published: (2023)

How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective
by: Qiu, Xinchi, et al.
Published: (2024)

In-Context Unlearning: Language Models as Few Shot Unlearners
by: Pawelczyk, Martin, et al.
Published: (2023)

CURE: Controlled Unlearning for Robust Embeddings -- Mitigating Conceptual Shortcuts in Pre-Trained Language Models
by: Kocak, Aysenur, et al.
Published: (2025)

AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors
by: Zhao, Mengnan, et al.
Published: (2024)

Group Preference Optimization: Few-Shot Alignment of Large Language Models
by: Zhao, Siyan, et al.
Published: (2023)