Imagen de Portada

A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Feng, Xiaohua, Li, Yuyuan, Wang, Chengye, Liu, Junlin, Zhang, Li, Chen, Chaochao
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Bridging the Gap Between Preference Alignment and Machine Unlearning
por: Feng, Xiaohua, et al.
Publicado: (2025)

LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems
por: Yu, Fengyuan, et al.
Publicado: (2025)

Integration of Large Language Models and Federated Learning
por: Chen, Chaochao, et al.
Publicado: (2023)

Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization
por: Feng, Xiaohua, et al.
Publicado: (2024)

A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions
por: Li, Yuyuan, et al.
Publicado: (2024)

Large Language Model Unlearning
por: Yao, Yuanshun, et al.
Publicado: (2023)

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

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

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

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
por: Lin, Yujie, et al.
Publicado: (2026)

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

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

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

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

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

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

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

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

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction
por: Feng, Xiaohua, et al.
Publicado: (2025)

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

Toward Understanding Unlearning Difficulty: A Mechanistic Perspective and Circuit-Guided Difficulty Metric
por: Cheng, Jiali, et al.
Publicado: (2026)

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

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

Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning
por: Zhao, Yang, et al.
Publicado: (2024)

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

LMEraser: Large Model Unlearning through Adaptive Prompt Tuning
por: Xu, Jie, et al.
Publicado: (2024)

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

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

Understanding the Dilemma of Unlearning for Large Language Models
por: Zhang, Qingjie, et al.
Publicado: (2025)

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

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

Machine Unlearning in Large Language Models
por: Gundavarapu, Saaketh Koundinya, et al.
Publicado: (2024)

Geometric-disentangelment Unlearning
por: Zhou, Duo, et al.
Publicado: (2025)

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

Consistency-Aware Editing for Entity-level Unlearning in Language Models
por: Han, Xiaoqi, et al.
Publicado: (2025)

Generalizable Multimodal Large Language Model Editing via Invariant Trajectory Learning
por: Su, Jiajie, et al.
Publicado: (2026)

Textual Unlearning Gives a False Sense of Unlearning
por: Du, Jiacheng, et al.
Publicado: (2024)

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

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

Mitigating Social Biases in Language Models through Unlearning
por: Dige, Omkar, et al.
Publicado: (2024)