Evaluating Deep Unlearning in Large Language Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Wu, Ruihan, Yadav, Chhavi, Salakhutdinov, Russ, Chaudhuri, Kamalika |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Can We Infer Confidential Properties of Training Data from LLMs?
por: Huang, Pengrun, et al.
Publicado: (2025)
por: Huang, Pengrun, et al.
Publicado: (2025)
Learning-Time Encoding Shapes Unlearning in LLMs
por: Wu, Ruihan, et al.
Publicado: (2025)
por: Wu, Ruihan, et al.
Publicado: (2025)
Influence-based Attributions can be Manipulated
por: Yadav, Chhavi, et al.
Publicado: (2024)
por: Yadav, Chhavi, et al.
Publicado: (2024)
Privacy-Preserving Retrieval-Augmented Generation with Differential Privacy
por: Koga, Tatsuki, et al.
Publicado: (2024)
por: Koga, Tatsuki, et al.
Publicado: (2024)
Data Redaction from Conditional Generative Models
por: Kong, Zhifeng, et al.
Publicado: (2023)
por: Kong, Zhifeng, et al.
Publicado: (2023)
Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
por: Wei, Rongzhe, et al.
Publicado: (2025)
por: Wei, Rongzhe, et al.
Publicado: (2025)
IoT-LM: Large Multisensory Language Models for the Internet of Things
por: Mo, Shentong, et al.
Publicado: (2024)
por: Mo, Shentong, et al.
Publicado: (2024)
Keeping Up with the Language Models: Systematic Benchmark Extension for Bias Auditing
por: Baldini, Ioana, et al.
Publicado: (2023)
por: Baldini, Ioana, et al.
Publicado: (2023)
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
por: Yadav, Chhavi, et al.
Publicado: (2025)
por: Yadav, Chhavi, et al.
Publicado: (2025)
Automated Concept Discovery for LLM-as-a-Judge Preference Analysis
por: Wedgwood, James, et al.
Publicado: (2026)
por: Wedgwood, James, et al.
Publicado: (2026)
FairProof : Confidential and Certifiable Fairness for Neural Networks
por: Yadav, Chhavi, et al.
Publicado: (2024)
por: Yadav, Chhavi, et al.
Publicado: (2024)
Customizing Language Model Responses with Contrastive In-Context Learning
por: Gao, Xiang, et al.
Publicado: (2024)
por: Gao, Xiang, et al.
Publicado: (2024)
SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models
por: Gao, Xiang, et al.
Publicado: (2024)
por: Gao, Xiang, et al.
Publicado: (2024)
Deep Contrastive Unlearning for Language Models
por: He, Estrid, et al.
Publicado: (2025)
por: He, Estrid, et al.
Publicado: (2025)
Existing Large Language Model Unlearning Evaluations Are Inconclusive
por: Feng, Zhili, et al.
Publicado: (2025)
por: Feng, Zhili, et al.
Publicado: (2025)
Unlearning Climate Misinformation in Large Language Models
por: Fore, Michael, et al.
Publicado: (2024)
por: Fore, Michael, et al.
Publicado: (2024)
A Survey on Unlearning in Large Language Models
por: Qiu, Ruichen, et al.
Publicado: (2025)
por: Qiu, Ruichen, et al.
Publicado: (2025)
Investigating Model Editing for Unlearning in Large Language Models
por: Hossain, Shariqah, et al.
Publicado: (2025)
por: Hossain, Shariqah, et al.
Publicado: (2025)
Soft Prompting for Unlearning in Large Language Models
por: Bhaila, Karuna, et al.
Publicado: (2024)
por: Bhaila, Karuna, et al.
Publicado: (2024)
Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning
por: Wu, Jiawei, et al.
Publicado: (2026)
por: Wu, Jiawei, et al.
Publicado: (2026)
DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models
por: Cui, Wendi, et al.
Publicado: (2024)
por: Cui, Wendi, et al.
Publicado: (2024)
Machine Unlearning in Large Language Models
por: Gundavarapu, Saaketh Koundinya, et al.
Publicado: (2024)
por: Gundavarapu, Saaketh Koundinya, et al.
Publicado: (2024)
Evaluating Cross-Lingual Unlearning in Multilingual Language Models
por: Lizzo, Tyler, et al.
Publicado: (2026)
por: Lizzo, Tyler, et al.
Publicado: (2026)
Large Language Model Unlearning
por: Yao, Yuanshun, et al.
Publicado: (2023)
por: Yao, Yuanshun, et al.
Publicado: (2023)
Better Membership Inference Privacy Measurement through Discrepancy
por: Wu, Ruihan, et al.
Publicado: (2024)
por: Wu, Ruihan, et al.
Publicado: (2024)
PHEONA: An Evaluation Framework for Large Language Model-based Approaches to Computational Phenotyping
por: Pungitore, Sarah, et al.
Publicado: (2025)
por: Pungitore, Sarah, et al.
Publicado: (2025)
Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations
por: Tomani, Christian, et al.
Publicado: (2024)
por: Tomani, Christian, et al.
Publicado: (2024)
Rethinking Machine Unlearning for Large Language Models
por: Liu, Sijia, et al.
Publicado: (2024)
por: Liu, Sijia, et al.
Publicado: (2024)
Understanding the Dilemma of Unlearning for Large Language Models
por: Zhang, Qingjie, et al.
Publicado: (2025)
por: Zhang, Qingjie, et al.
Publicado: (2025)
Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models
por: Zhang, Ce, et al.
Publicado: (2025)
por: Zhang, Ce, et al.
Publicado: (2025)
Towards Safer Large Language Models through Machine Unlearning
por: Liu, Zheyuan, et al.
Publicado: (2024)
por: Liu, Zheyuan, et al.
Publicado: (2024)
Avoiding Copyright Infringement via Large Language Model Unlearning
por: Dou, Guangyao, et al.
Publicado: (2024)
por: Dou, Guangyao, et al.
Publicado: (2024)
SCE: Scalable Consistency Ensembles Make Blackbox Large Language Model Generation More Reliable
por: Zhang, Jiaxin, et al.
Publicado: (2025)
por: Zhang, Jiaxin, et al.
Publicado: (2025)
Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning
por: Wan, Yixin, et al.
Publicado: (2025)
por: Wan, Yixin, et al.
Publicado: (2025)
Offset Unlearning for Large Language Models
por: Huang, James Y., et al.
Publicado: (2024)
por: Huang, James Y., et al.
Publicado: (2024)
ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
por: Lin, Yujie, et al.
Publicado: (2026)
por: Lin, Yujie, et al.
Publicado: (2026)
Dissecting Fine-Tuning Unlearning in Large Language Models
por: Hong, Yihuai, et al.
Publicado: (2024)
por: Hong, Yihuai, et al.
Publicado: (2024)
Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models
por: Liu, Zheyuan, et al.
Publicado: (2025)
por: Liu, Zheyuan, et al.
Publicado: (2025)
Multi-Objective Large Language Model Unlearning
por: Pan, Zibin, et al.
Publicado: (2024)
por: Pan, Zibin, et al.
Publicado: (2024)
Hierarchical Federated Unlearning for Large Language Models
por: Zhong, Yisheng, et al.
Publicado: (2025)
por: Zhong, Yisheng, et al.
Publicado: (2025)
Ejemplares similares
-
Can We Infer Confidential Properties of Training Data from LLMs?
por: Huang, Pengrun, et al.
Publicado: (2025) -
Learning-Time Encoding Shapes Unlearning in LLMs
por: Wu, Ruihan, et al.
Publicado: (2025) -
Influence-based Attributions can be Manipulated
por: Yadav, Chhavi, et al.
Publicado: (2024) -
Privacy-Preserving Retrieval-Augmented Generation with Differential Privacy
por: Koga, Tatsuki, et al.
Publicado: (2024) -
Data Redaction from Conditional Generative Models
por: Kong, Zhifeng, et al.
Publicado: (2023)