{"total":23,"rows":[{"id":"2407.17817","title":"Demystifying Verbatim Memorization in Large Language Models","created":"2024-07-25","cited_by_count":56,"area":null},{"id":"2502.04506","title":"When One LLM Drools, Multi-LLM Collaboration Rules","created":"2025-02-06","cited_by_count":28,"area":null},{"id":"2410.04197","title":"CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints","created":"2024-10-05","cited_by_count":24,"area":null},{"id":"2412.06370","title":"Exploring Memorization and Copyright Violation in Frontier LLMs: A Study of the New York Times v. OpenAI 2023 Lawsuit","created":"2024-12-09","cited_by_count":18,"area":null},{"id":"2510.01645","title":"Position: Privacy Is Not Just Memorization!","created":"2025-10-02","cited_by_count":17,"area":null},{"id":"2409.13831","title":"Measuring Copyright Risks of Large Language Model via Partial Information Probing","created":"2024-09-20","cited_by_count":9,"area":null},{"id":"2510.18554","title":"Extracting alignment data in open models","created":"2025-10-21","cited_by_count":8,"area":null},{"id":"2412.06619","title":"Copyright-Protected Language Generation via Adaptive Model Fusion","created":"2024-12-09","cited_by_count":7,"area":null},{"id":"2504.07854","title":"The KL3M Data Project: Copyright-Clean Training Resources for Large Language Models","created":"2025-04-10","cited_by_count":6,"area":null},{"id":"2504.09389","title":"Measuring LLM Novelty As The Frontier Of Original And High-Quality Output","created":"2025-04-13","cited_by_count":6,"area":null},{"id":"2407.20105","title":"Strong Copyright Protection for Language Models via Adaptive Model Fusion","created":"2024-07-29","cited_by_count":4,"area":null},{"id":"2601.10645","title":"Influential Training Data Retrieval for Explaining Verbalized Confidence of LLMs","created":"2026-01-15","cited_by_count":4,"area":null},{"id":"2503.05713","title":"Beyond English: Unveiling Multilingual Bias in LLM Copyright Compliance","created":"2025-02-14","cited_by_count":2,"area":null},{"id":"2506.17585","title":"Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models","created":"2025-06-21","cited_by_count":2,"area":null},{"id":"2508.17767","title":"ISACL: Internal State Analyzer for Copyrighted Training Data Leakage","created":"2025-08-25","cited_by_count":2,"area":null},{"id":"2409.14050","title":"The use of GPT-4o and Other Large Language Models for the Improvement and Design of Self-Assessment Scales for Measurement of Interpersonal Communication Skills","created":"2024-09-21","cited_by_count":1,"area":null},{"id":"2502.16290","title":"Interrogating LLM design under a fair learning doctrine","created":"2025-02-22","cited_by_count":1,"area":null},{"id":"2504.16046","title":"Certified Mitigation of Worst-Case LLM Copyright Infringement","created":"2025-04-22","cited_by_count":1,"area":null},{"id":"2601.04474","title":"Computational Compliance for AI Regulation: Blueprint for a New Research Domain","created":"2026-01-08","cited_by_count":1,"area":null},{"id":"2602.08632","title":"We Should Separate Memorization from Copyright","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2602.18633","title":"DP-RFT: Learning to Generate Synthetic Text via Differentially Private Reinforcement Fine-Tuning","created":"2026-02-20","cited_by_count":0,"area":null},{"id":"2605.01323","title":"SiNFluD: Creating and Evaluating Figurative Language Dataset for Sindhi","created":"2026-05-02","cited_by_count":0,"area":null},{"id":"2608.08283","title":"Do Evaluation Metrics Detect Errors in Classical Chinese to English Translations?","created":"2026-08-08","cited_by_count":0,"area":null}],"next_cursor":null}