Image de couverture de livre

Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tang, Haoyu, Liu, Ye, Zhao, Xi, Liu, Xukai, Zhang, Yanghai, Zhang, Kai, Zhou, Xiaofang, Chen, Enhong
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection
par: Liu, Ye, et autres
Publié: (2024)

Layer-Order Inversion: Rethinking Latent Multi-Hop Reasoning in Large Language Models
par: Liu, Xukai, et autres
Publié: (2026)

OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting
par: Liu, Xukai, et autres
Publié: (2024)

Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering
par: Liu, Xukai, et autres
Publié: (2025)

Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
par: Yuan, Hongbang, et autres
Publié: (2024)

A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty
par: Feng, Xiaohua, et autres
Publié: (2025)

Offset Unlearning for Large Language Models
par: Huang, James Y., et autres
Publié: (2024)

Learning and Unlearning of Fabricated Knowledge in Language Models
par: Sun, Chen, et autres
Publié: (2024)

Large Language Model Unlearning
par: Yao, Yuanshun, et autres
Publié: (2023)

CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept
par: Wu, YuXuan, et autres
Publié: (2024)

Understanding the Dilemma of Unlearning for Large Language Models
par: Zhang, Qingjie, et autres
Publié: (2025)

MUSE: Machine Unlearning Six-Way Evaluation for Language Models
par: Shi, Weijia, et autres
Publié: (2024)

Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning
par: Zhao, Yang, et autres
Publié: (2024)

Multi-Objective Large Language Model Unlearning
par: Pan, Zibin, et autres
Publié: (2024)

Deep Contrastive Unlearning for Language Models
par: He, Estrid, et autres
Publié: (2025)

Machine Unlearning in Large Language Models
par: Gundavarapu, Saaketh Koundinya, et autres
Publié: (2024)

Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization
par: Zhang, Yanghai, et autres
Publié: (2024)

Rethinking Machine Unlearning in Image Generation Models
par: Liu, Renyang, et autres
Publié: (2025)

Mitigating Social Biases in Language Models through Unlearning
par: Dige, Omkar, et autres
Publié: (2024)

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
par: Lin, Yujie, et autres
Publié: (2026)

UniErase: Towards Balanced and Precise Unlearning in Language Models
par: Yu, Miao, et autres
Publié: (2025)

Catastrophic Failure of LLM Unlearning via Quantization
par: Zhang, Zhiwei, et autres
Publié: (2024)

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
par: Ji, Jiabao, et autres
Publié: (2024)

To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
par: Tian, Bozhong, et autres
Publié: (2024)

Large Language Model Unlearning via Embedding-Corrupted Prompts
par: Liu, Chris Yuhao, et autres
Publié: (2024)

Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models
par: Liu, Ye, et autres
Publié: (2024)

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
par: Jin, Zhuoran, et autres
Publié: (2024)

A Closer Look at Machine Unlearning for Large Language Models
par: Yuan, Xiaojian, et autres
Publié: (2024)

Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs
par: Xu, Xiaoyu, et autres
Publié: (2025)

Geometric-disentangelment Unlearning
par: Zhou, Duo, et autres
Publié: (2025)

DUP: Detection-guided Unlearning for Backdoor Purification in Language Models
par: Hu, Man, et autres
Publié: (2025)

GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models
par: Niu, Peizhi, et autres
Publié: (2025)

Unlearning Traces the Influential Training Data of Language Models
par: Isonuma, Masaru, et autres
Publié: (2024)

ReLearn: Unlearning via Learning for Large Language Models
par: Xu, Haoming, et autres
Publié: (2025)

Machine Unlearning in Generative AI: A Survey
par: Liu, Zheyuan, et autres
Publié: (2024)

Efficient Machine Unlearning via Influence Approximation
par: Liu, Jiawei, et autres
Publié: (2025)

Reveal and Release: Iterative LLM Unlearning with Self-generated Data
par: Xie, Linxi, et autres
Publié: (2025)

A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models
par: Geng, Jiahui, et autres
Publié: (2025)

Hierarchical Federated Unlearning for Large Language Models
par: Zhong, Yisheng, et autres
Publié: (2025)

Soft Prompting for Unlearning in Large Language Models
par: Bhaila, Karuna, et autres
Publié: (2024)