Cover Image

Memorization in Fine-Tuned Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Savine, Danil
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Impact of Fine-Tuning Methods on Memorization in Large Language Models
by: Hou, Jie, et al.
Published: (2025)

Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models
by: Ramakrishnan, Badrinath, et al.
Published: (2025)

Unintended Memorization of Sensitive Information in Fine-Tuned Language Models
by: Szep, Marton, et al.
Published: (2026)

Memorizing Documents with Guidance in Large Language Models
by: Park, Bumjin, et al.
Published: (2024)

Exploring Memorization in Fine-tuned Language Models
by: Zeng, Shenglai, et al.
Published: (2023)

Safety-Aware Fine-Tuning of Large Language Models
by: Choi, Hyeong Kyu, et al.
Published: (2024)

Phased Instruction Fine-Tuning for Large Language Models
by: Pang, Wei, et al.
Published: (2024)

Undesirable Memorization in Large Language Models: A Survey
by: Satvaty, Ali, et al.
Published: (2024)

Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models
by: Barnett, Scott, et al.
Published: (2024)

Reversing Large Language Models for Efficient Training and Fine-Tuning
by: Gal, Eshed, et al.
Published: (2025)

Detecting Memorization in Large Language Models
by: Slonski, Eduardo
Published: (2024)

Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implications
by: Li, Anran, et al.
Published: (2025)

A Multi-Perspective Analysis of Memorization in Large Language Models
by: Chen, Bowen, et al.
Published: (2024)

Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
by: Khadangi, Afshin, et al.
Published: (2025)

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
by: Lyu, Yougang, et al.
Published: (2024)

Efficient Fine-Tuning of Large Language Models for Automated Medical Documentation
by: Leong, Hui Yi, et al.
Published: (2024)

Hierarchical Memorization in Large Language Models: Evidence from Citation Generation
by: Niimi, Junichiro
Published: (2025)

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models
by: Feng, Jiarui, et al.
Published: (2025)

Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting
by: Ding, Fei, et al.
Published: (2025)

Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace
by: Zhang, Jia-Chen, et al.
Published: (2025)

You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Models
by: He, Wenchong, et al.
Published: (2025)

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models
by: Ormerod, Christopher
Published: (2026)

Legal Documents Drafting with Fine-Tuned Pre-Trained Large Language Model
by: Lin, Chun-Hsien, et al.
Published: (2024)

Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification
by: Cruickshank, Iain J., et al.
Published: (2023)

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
by: Huang, Wenke, et al.
Published: (2024)

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning
by: Mai, Long, et al.
Published: (2024)

Boosting Large Language Models with Mask Fine-Tuning
by: Zhang, Mingyuan, et al.
Published: (2025)

Scaling Sparse Fine-Tuning to Large Language Models
by: Ansell, Alan, et al.
Published: (2024)

Overtrained Language Models Are Harder to Fine-Tune
by: Springer, Jacob Mitchell, et al.
Published: (2025)

Skewed Memorization in Large Language Models: Quantification and Decomposition
by: Li, Hao, et al.
Published: (2025)

An Evaluation on Large Language Model Outputs: Discourse and Memorization
by: de Wynter, Adrian, et al.
Published: (2023)

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models
by: Qin, Zhanyue, et al.
Published: (2025)

Pramana: Fine-Tuning Large Language Models for Epistemic Reasoning through Navya-Nyaya
by: Sathish, Sharath
Published: (2026)

Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks
by: Efeoglu, Sefika, et al.
Published: (2024)

Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks
by: Luo, Ling, et al.
Published: (2023)

Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
by: Zhang, Xinlu, et al.
Published: (2024)

Fine Tuning Large Language Models for Medicine: The Role and Importance of Direct Preference Optimization
by: Savage, Thomas, et al.
Published: (2024)

Dynamic Adaptive Optimization for Effective Sentiment Analysis Fine-Tuning on Large Language Models
by: Ding, Hongcheng, et al.
Published: (2024)

Hyperbolic Fine-Tuning for Large Language Models
by: Yang, Menglin, et al.
Published: (2024)

Arithmetic with Language Models: from Memorization to Computation
by: Maltoni, Davide, et al.
Published: (2023)