Unlearning Traces the Influential Training Data of Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Isonuma, Masaru, Titov, Ivan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
What's New in My Data? Novelty Exploration via Contrastive Generation
by: Isonuma, Masaru, et al.
Published: (2024)
by: Isonuma, Masaru, et al.
Published: (2024)
Investigating Training and Generalization in Faithful Self-Explanations of Large Language Models
by: Doi, Tomoki, et al.
Published: (2025)
by: Doi, Tomoki, et al.
Published: (2025)
Token-wise Influential Training Data Retrieval for Large Language Models
by: Lin, Huawei, et al.
Published: (2024)
by: Lin, Huawei, et al.
Published: (2024)
Controlling What You Share: Assessing Language Model Adherence to Privacy Preferences
by: Ramírez, Guillem, et al.
Published: (2025)
by: Ramírez, Guillem, et al.
Published: (2025)
Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is Missing
by: Ulmer, Dennis, et al.
Published: (2025)
by: Ulmer, Dennis, et al.
Published: (2025)
M-Wanda: Improving One-Shot Pruning for Multilingual LLMs
by: Choenni, Rochelle, et al.
Published: (2025)
by: Choenni, Rochelle, et al.
Published: (2025)
Shared Doubt: Zero-shot Cross-Lingual Confidence Estimation for Language Models
by: Kyriakou, Athina, et al.
Published: (2026)
by: Kyriakou, Athina, et al.
Published: (2026)
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning
by: Li, Xiaochuan, et al.
Published: (2024)
by: Li, Xiaochuan, et al.
Published: (2024)
Exclusive Unlearning
by: Sasaki, Mutsumi, et al.
Published: (2026)
by: Sasaki, Mutsumi, et al.
Published: (2026)
Comprehensive Evaluation of Large Language Models for Topic Modeling
by: Doi, Tomoki, et al.
Published: (2024)
by: Doi, Tomoki, et al.
Published: (2024)
Influential Language Data Selection via Gradient Trajectory Pursuit
by: Deng, Zhiwei, et al.
Published: (2024)
by: Deng, Zhiwei, et al.
Published: (2024)
Finding Culture-Sensitive Neurons in Vision-Language Models
by: Zhao, Xiutian, et al.
Published: (2025)
by: Zhao, Xiutian, et al.
Published: (2025)
Towards Transfer Unlearning: Empirical Evidence of Cross-Domain Bias Mitigation
by: Lu, Huimin, et al.
Published: (2024)
by: Lu, Huimin, et al.
Published: (2024)
Intrinsic Test of Unlearning Using Parametric Knowledge Traces
by: Hong, Yihuai, et al.
Published: (2024)
by: Hong, Yihuai, et al.
Published: (2024)
UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models
by: Dong, Yijiang River, et al.
Published: (2024)
by: Dong, Yijiang River, et al.
Published: (2024)
Machine Unlearning in Large Language Models
by: Gundavarapu, Saaketh Koundinya, et al.
Published: (2024)
by: Gundavarapu, Saaketh Koundinya, et al.
Published: (2024)
Deep Contrastive Unlearning for Language Models
by: He, Estrid, et al.
Published: (2025)
by: He, Estrid, et al.
Published: (2025)
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning
by: Zhao, Yang, et al.
Published: (2024)
by: Zhao, Yang, et al.
Published: (2024)
LESS: Selecting Influential Data for Targeted Instruction Tuning
by: Xia, Mengzhou, et al.
Published: (2024)
by: Xia, Mengzhou, et al.
Published: (2024)
Learning and Unlearning of Fabricated Knowledge in Language Models
by: Sun, Chen, et al.
Published: (2024)
by: Sun, Chen, et al.
Published: (2024)
Understanding the Dilemma of Unlearning for Large Language Models
by: Zhang, Qingjie, et al.
Published: (2025)
by: Zhang, Qingjie, et al.
Published: (2025)
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept
by: Wu, YuXuan, et al.
Published: (2024)
by: Wu, YuXuan, et al.
Published: (2024)
GATEAU: Selecting Influential Samples for Long Context Alignment
by: Si, Shuzheng, et al.
Published: (2024)
by: Si, Shuzheng, et al.
Published: (2024)
Mitigating Social Biases in Language Models through Unlearning
by: Dige, Omkar, et al.
Published: (2024)
by: Dige, Omkar, et al.
Published: (2024)
Large Language Model Unlearning
by: Yao, Yuanshun, et al.
Published: (2023)
by: Yao, Yuanshun, et al.
Published: (2023)
Joint Localization and Activation Editing for Low-Resource Fine-Tuning
by: Lai, Wen, et al.
Published: (2025)
by: Lai, Wen, et al.
Published: (2025)
MUSE: Machine Unlearning Six-Way Evaluation for Language Models
by: Shi, Weijia, et al.
Published: (2024)
by: Shi, Weijia, et al.
Published: (2024)
On Effects of Steering Latent Representation for Large Language Model Unlearning
by: Huu-Tien, Dang, et al.
Published: (2024)
by: Huu-Tien, Dang, et al.
Published: (2024)
UniErase: Towards Balanced and Precise Unlearning in Language Models
by: Yu, Miao, et al.
Published: (2025)
by: Yu, Miao, et al.
Published: (2025)
OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models
by: Zheng, Hao, et al.
Published: (2025)
by: Zheng, Hao, et al.
Published: (2025)
Consistency-Aware Editing for Entity-level Unlearning in Language Models
by: Han, Xiaoqi, et al.
Published: (2025)
by: Han, Xiaoqi, et al.
Published: (2025)
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
by: Tang, Haoyu, et al.
Published: (2024)
by: Tang, Haoyu, et al.
Published: (2024)
ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
by: Lin, Yujie, et al.
Published: (2026)
by: Lin, Yujie, et al.
Published: (2026)
Position: No Retroactive Cure for Infringement during Training
by: Utsunomiya, Satoru, et al.
Published: (2026)
by: Utsunomiya, Satoru, et al.
Published: (2026)
CURE: Controlled Unlearning for Robust Embeddings -- Mitigating Conceptual Shortcuts in Pre-Trained Language Models
by: Kocak, Aysenur, et al.
Published: (2025)
by: Kocak, Aysenur, et al.
Published: (2025)
Offset Unlearning for Large Language Models
by: Huang, James Y., et al.
Published: (2024)
by: Huang, James Y., et al.
Published: (2024)
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models
by: Wang, Lingzhi, et al.
Published: (2024)
by: Wang, Lingzhi, et al.
Published: (2024)
A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models
by: Geng, Jiahui, et al.
Published: (2025)
by: Geng, Jiahui, et al.
Published: (2025)
Balanced Data Sampling for Language Model Training with Clustering
by: Shao, Yunfan, et al.
Published: (2024)
by: Shao, Yunfan, et al.
Published: (2024)
GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models
by: Niu, Peizhi, et al.
Published: (2025)
by: Niu, Peizhi, et al.
Published: (2025)
Similar Items
-
What's New in My Data? Novelty Exploration via Contrastive Generation
by: Isonuma, Masaru, et al.
Published: (2024) -
Investigating Training and Generalization in Faithful Self-Explanations of Large Language Models
by: Doi, Tomoki, et al.
Published: (2025) -
Token-wise Influential Training Data Retrieval for Large Language Models
by: Lin, Huawei, et al.
Published: (2024) -
Controlling What You Share: Assessing Language Model Adherence to Privacy Preferences
by: Ramírez, Guillem, et al.
Published: (2025) -
Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is Missing
by: Ulmer, Dennis, et al.
Published: (2025)