Cover Image

Memorizing Documents with Guidance in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Park, Bumjin, Choi, Jaesik
Format:	Preprint
Published:	2024
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

Identifying the Source of Generation for Large Language Models
by: Park, Bumjin, et al.
Published: (2024)

Deontological Keyword Bias: The Impact of Modal Expressions on Normative Judgments of Language Models
by: Park, Bumjin, et al.
Published: (2025)

Memorization in Fine-Tuned Large Language Models
by: Savine, Danil
Published: (2025)

Optimal path for Biomedical Text Summarization Using Pointer GPT
by: Han, Hyunkyung, et al.
Published: (2024)

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

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

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

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

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

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

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

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

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

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

Self-HarmLLM: Can Large Language Model Harm Itself?
by: Kim, Heehwan, et al.
Published: (2025)

FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models
by: Zhu, Junyi, et al.
Published: (2024)

Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models
by: Vladika, Juraj, et al.
Published: (2025)

Beyond Memorization: Assessing Semantic Generalization in Large Language Models Using Phrasal Constructions
by: Scivetti, Wesley, et al.
Published: (2025)

Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models
by: Ruzzetti, Elena Sofia, et al.
Published: (2025)

Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models
by: Kim, Yeeun, et al.
Published: (2024)

Pruning as a Defense: Reducing Memorization in Large Language Models
by: Gupta, Mansi, et al.
Published: (2025)

Mitigating Memorization In Language Models
by: Sakarvadia, Mansi, et al.
Published: (2024)

Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
by: Ma, Mingyu Derek, et al.
Published: (2025)

Beyond Memorization: The Challenge of Random Memory Access in Language Models
by: Zhu, Tongyao, et al.
Published: (2024)

Generalization or Memorization? Brittleness Testing for Chess-Trained Language Models
by: Tang, Ethan
Published: (2026)

Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models
by: Cao, Boxi, et al.
Published: (2023)

Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
by: Bordt, Sebastian, et al.
Published: (2024)

Exploring Approaches for Detecting Memorization of Recommender System Data in Large Language Models
by: Colacicco, Antonio, et al.
Published: (2026)

The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction
by: Hong, Yihuai, et al.
Published: (2025)

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

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
by: Wang, Zhepeng, et al.
Published: (2024)

Understanding or Memorizing? A Case Study of German Definite Articles in Language Models
by: Drechsel, Jonathan, et al.
Published: (2026)

Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models
by: Byun, Hoyoon, et al.
Published: (2025)

PreCog: Exploring the Relation between Memorization and Performance in Pre-trained Language Models
by: Ranaldi, Leonardo, et al.
Published: (2023)

To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
by: Barbulescu, George-Octavian, et al.
Published: (2024)

Memorization or Interpolation ? Detecting LLM Memorization through Input Perturbation Analysis
by: Djiré, Albérick Euraste, et al.
Published: (2025)

Small Language Models for Curriculum-based Guidance
by: Katharakis, Konstantinos, et al.
Published: (2025)

Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance
by: Xiong, Kai, et al.
Published: (2024)

KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models
by: Zheng, Zaiyi, et al.
Published: (2025)

HealthGenie: Empowering Users with Healthy Dietary Guidance through Knowledge Graph and Large Language Models
by: Gao, Fan, et al.
Published: (2025)