{"total":25,"rows":[{"id":"2205.10770","title":"Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models","created":"2022-05-22","cited_by_count":220,"area":null},{"id":"2112.10508","title":"Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP","created":"2021-12-20","cited_by_count":132,"area":null},{"id":"2303.11504","title":"Language Model Behavior: A Comprehensive Survey","created":"2023-03-20","cited_by_count":92,"area":null},{"id":"2305.15594","title":"Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models","created":"2023-05-24","cited_by_count":83,"area":null},{"id":"2203.07618","title":"Do Language Models Plagiarize?","created":"2022-03-15","cited_by_count":73,"area":null},{"id":"2210.01296","title":"Recitation-Augmented Language Models","created":"2022-10-04","cited_by_count":65,"area":null},{"id":"2410.02650","title":"Undesirable Memorization in Large Language Models: A Survey","created":"2024-10-03","cited_by_count":29,"area":null},{"id":"2310.14369","title":"MoPe: Model Perturbation-based Privacy Attacks on Language Models","created":"2023-10-22","cited_by_count":25,"area":null},{"id":"2402.02987","title":"Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models","created":"2024-02-05","cited_by_count":16,"area":null},{"id":"2406.03880","title":"Memorization in deep learning: A survey","created":"2024-06-06","cited_by_count":15,"area":null},{"id":"2501.13121","title":"Episodic Memories Generation and Evaluation Benchmark for Large Language Models","created":"2025-01-21","cited_by_count":14,"area":null},{"id":"2210.12929","title":"Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks","created":"2022-10-24","cited_by_count":12,"area":null},{"id":"2403.05681","title":"DP-TabICL: In-Context Learning with Differentially Private Tabular Data","created":"2024-03-08","cited_by_count":11,"area":null},{"id":"2404.07982","title":"The Role of Language Imbalance in Cross-lingual Generalisation: Insights from Cloned Language Experiments","created":"2024-04-11","cited_by_count":9,"area":null},{"id":"2403.00510","title":"ROME: Memorization Insights from Text, Logits and Representation","created":"2024-03-01","cited_by_count":8,"area":null},{"id":"2407.19262","title":"Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications","created":"2024-07-27","cited_by_count":7,"area":null},{"id":"2211.12781","title":"Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling","created":"2022-11-23","cited_by_count":6,"area":null},{"id":"2303.17557","title":"Recognition, recall, and retention of few-shot memories in large language models","created":"2023-03-30","cited_by_count":5,"area":null},{"id":"2404.06508","title":"On the Effect of (Near) Duplicate Subwords in Language Modelling","created":"2024-04-09","cited_by_count":5,"area":null},{"id":"2502.12851","title":"MeMo: Towards Language Models with Associative Memory Mechanisms","created":"2025-02-18","cited_by_count":5,"area":null},{"id":"2311.05379","title":"Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation","created":"2023-11-09","cited_by_count":4,"area":null},{"id":"2310.10704","title":"Optimized Tokenization for Transcribed Error Correction","created":"2023-10-16","cited_by_count":0,"area":null},{"id":"2406.09967","title":"Bag of Lies: Robustness in Continuous Pre-training BERT","created":"2024-06-14","cited_by_count":0,"area":null},{"id":"2506.06446","title":"Tokenization Multiplicity Leads to Arbitrary Price Variation in LLM-as-a-service","created":"2025-06-06","cited_by_count":0,"area":null},{"id":"2605.22981","title":"Memorization Dynamics of Fill-in-the-Middle Pretraining","created":"2026-05-21","cited_by_count":0,"area":null}],"next_cursor":null}