Saved in:
| Main Authors: | Tiwari, Trishita, Trachtenberg, Ari, Suh, G. Edward |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.18733 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sequence-Level Leakage Risk of Training Data in Large Language Models
by: Tiwari, Trishita, et al.
Published: (2024)
by: Tiwari, Trishita, et al.
Published: (2024)
The Pitfalls of Memorization: When Memorization Hurts Generalization
by: Bayat, Reza, et al.
Published: (2024)
by: Bayat, Reza, et al.
Published: (2024)
Detecting Memorization in Large Language Models
by: Slonski, Eduardo
Published: (2024)
by: Slonski, Eduardo
Published: (2024)
Demystifying Verbatim Memorization in Large Language Models
by: Huang, Jing, et al.
Published: (2024)
by: Huang, Jing, et al.
Published: (2024)
Rethinking Memorization Measures and their Implications in Large Language Models
by: Ghosh, Bishwamittra, et al.
Published: (2025)
by: Ghosh, Bishwamittra, et al.
Published: (2025)
Are Large Language Models Memorizing Bug Benchmarks?
by: Ramos, Daniel, et al.
Published: (2024)
by: Ramos, Daniel, et al.
Published: (2024)
Efficiently Attacking Memorization Scores
by: Do, Tue, et al.
Published: (2025)
by: Do, Tue, et al.
Published: (2025)
Mitigating Memorization In Language Models
by: Sakarvadia, Mansi, et al.
Published: (2024)
by: Sakarvadia, Mansi, et al.
Published: (2024)
Generalization-Memorization Machines
by: Wang, Zhen, et al.
Published: (2022)
by: Wang, Zhen, et al.
Published: (2022)
An Evaluation on Large Language Model Outputs: Discourse and Memorization
by: de Wynter, Adrian, et al.
Published: (2023)
by: de Wynter, Adrian, et al.
Published: (2023)
Skewed Memorization in Large Language Models: Quantification and Decomposition
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
Generative Modeling of Weights: Generalization or Memorization?
by: Zeng, Boya, et al.
Published: (2025)
by: Zeng, Boya, et al.
Published: (2025)
Beyond Frequency: The Role of Redundancy in Large Language Model Memorization
by: Zhang, Jie, et al.
Published: (2025)
by: Zhang, Jie, et al.
Published: (2025)
Inferring the Size of Large Language Models From Popular Text Memorization
by: Nikolic, Ivica
Published: (2026)
by: Nikolic, Ivica
Published: (2026)
Memorization Sinks: Isolating Memorization during LLM Training
by: Ghosal, Gaurav R., et al.
Published: (2025)
by: Ghosal, Gaurav R., et al.
Published: (2025)
Localizing Paragraph Memorization in Language Models
by: Stoehr, Niklas, et al.
Published: (2024)
by: Stoehr, Niklas, et al.
Published: (2024)
A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis
by: Scardace, Antonio, et al.
Published: (2025)
by: Scardace, Antonio, et al.
Published: (2025)
On the Edge of Memorization in Diffusion Models
by: Buchanan, Sam, et al.
Published: (2025)
by: Buchanan, Sam, et al.
Published: (2025)
Analyzing Memorization in Large Language Models through the Lens of Model Attribution
by: Menta, Tarun Ram, et al.
Published: (2025)
by: Menta, Tarun Ram, et al.
Published: (2025)
Memorization and Regularization in Generative Diffusion Models
by: Baptista, Ricardo, et al.
Published: (2025)
by: Baptista, Ricardo, et al.
Published: (2025)
Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection
by: Kang, Minseo, et al.
Published: (2026)
by: Kang, Minseo, et al.
Published: (2026)
Pruning as a Defense: Reducing Memorization in Large Language Models
by: Gupta, Mansi, et al.
Published: (2025)
by: Gupta, Mansi, et al.
Published: (2025)
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
by: Dong, Yihong, et al.
Published: (2024)
by: Dong, Yihong, et al.
Published: (2024)
When Graph Language Models Go Beyond Memorization
by: Yamada, Masatsugu, et al.
Published: (2026)
by: Yamada, Masatsugu, et al.
Published: (2026)
Manifold Generalization Provably Proceeds Memorization in Diffusion Models
by: Shen, Zebang, et al.
Published: (2026)
by: Shen, Zebang, et al.
Published: (2026)
SolidMark: Evaluating Image Memorization in Generative Models
by: Kriplani, Nicky, et al.
Published: (2025)
by: Kriplani, Nicky, et al.
Published: (2025)
A Geometric Framework for Understanding Memorization in Generative Models
by: Ross, Brendan Leigh, et al.
Published: (2024)
by: Ross, Brendan Leigh, et al.
Published: (2024)
Provable Separations between Memorization and Generalization in Diffusion Models
by: Ye, Zeqi, et al.
Published: (2025)
by: Ye, Zeqi, et al.
Published: (2025)
Generalization and Memorization in Rectified Flow
by: Rao, Mingxing, et al.
Published: (2026)
by: Rao, Mingxing, et al.
Published: (2026)
On Memorization in Diffusion Models
by: Gu, Xiangming, et al.
Published: (2023)
by: Gu, Xiangming, et al.
Published: (2023)
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
by: Wang, Zhepeng, et al.
Published: (2024)
by: Wang, Zhepeng, et al.
Published: (2024)
Exploring Memorization in Fine-tuned Language Models
by: Zeng, Shenglai, et al.
Published: (2023)
by: Zeng, Shenglai, et al.
Published: (2023)
Déjà Vu Memorization in Vision-Language Models
by: Jayaraman, Bargav, et al.
Published: (2024)
by: Jayaraman, Bargav, et al.
Published: (2024)
Measuring Déjà vu Memorization Efficiently
by: Kokhlikyan, Narine, et al.
Published: (2025)
by: Kokhlikyan, Narine, et al.
Published: (2025)
Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
by: Ma, Mingyu Derek, et al.
Published: (2025)
by: Ma, Mingyu Derek, et al.
Published: (2025)
On the Dynamics & Transferability of Latent Generalization during Memorization
by: Ketha, Simran, et al.
Published: (2026)
by: Ketha, Simran, et al.
Published: (2026)
Beyond Memorization: Violating Privacy Via Inference with Large Language Models
by: Staab, Robin, et al.
Published: (2023)
by: Staab, Robin, et al.
Published: (2023)
Quantifying Memorization and Privacy Risks in Genomic Language Models
by: Nemecek, Alexander, et al.
Published: (2026)
by: Nemecek, Alexander, et al.
Published: (2026)
Memorization in Graph Neural Networks
by: Jamadandi, Adarsh, et al.
Published: (2025)
by: Jamadandi, Adarsh, et al.
Published: (2025)
On the Memorization of Consistency Distillation for Diffusion Models
by: Jiang, Bingqing, et al.
Published: (2026)
by: Jiang, Bingqing, et al.
Published: (2026)
Similar Items
-
Sequence-Level Leakage Risk of Training Data in Large Language Models
by: Tiwari, Trishita, et al.
Published: (2024) -
The Pitfalls of Memorization: When Memorization Hurts Generalization
by: Bayat, Reza, et al.
Published: (2024) -
Detecting Memorization in Large Language Models
by: Slonski, Eduardo
Published: (2024) -
Demystifying Verbatim Memorization in Large Language Models
by: Huang, Jing, et al.
Published: (2024) -
Rethinking Memorization Measures and their Implications in Large Language Models
by: Ghosh, Bishwamittra, et al.
Published: (2025)