{"total":19,"rows":[{"id":"2402.13598","title":"User-LLM: Efficient LLM Contextualization with User Embeddings","created":"2024-02-21","cited_by_count":76,"area":null},{"id":"2502.11528","title":"A Survey of Personalized Large Language Models: Progress and Future Directions","created":"2025-02-17","cited_by_count":71,"area":null},{"id":"2409.11901","title":"LLMs + Persona-Plug = Personalized LLMs","created":"2024-09-18","cited_by_count":32,"area":null},{"id":"2507.20849","title":"Latent Inter-User Difference Modeling for LLM Personalization","created":"2025-07-28","cited_by_count":21,"area":null},{"id":"2404.04163","title":"Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval","created":"2024-04-05","cited_by_count":13,"area":null},{"id":"2409.04421","title":"RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs","created":"2024-09-06","cited_by_count":13,"area":null},{"id":"2406.17803","title":"Understanding the Role of User Profile in the Personalization of Large Language Models","created":"2024-06-22","cited_by_count":11,"area":null},{"id":"2505.17051","title":"Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models","created":"2025-05-16","cited_by_count":10,"area":null},{"id":"2510.05056","title":"Modeling Student Learning with 3.8 Million Program Traces","created":"2025-10-06","cited_by_count":10,"area":null},{"id":"2411.05036","title":"From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models","created":"2024-11-06","cited_by_count":6,"area":null},{"id":"2602.00742","title":"CURP: Codebook-based Continuous User Representation for Personalized Generation with LLMs","created":"2026-01-31","cited_by_count":4,"area":null},{"id":"2602.04750","title":"Exploiting contextual information to improve stance detection in informal political discourse with LLMs","created":"2026-02-04","cited_by_count":2,"area":null},{"id":"2606.02300","title":"Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization","created":"2026-06-01","cited_by_count":1,"area":null},{"id":"2606.24985","title":"Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection","created":"2026-06-23","cited_by_count":1,"area":null},{"id":"2507.05137","title":"Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization","created":"2025-07-07","cited_by_count":0,"area":null},{"id":"2602.10339","title":"The Subjectivity of Respect in Police Traffic Stops: Modeling Community Perspectives in Body-Worn Camera Footage","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2604.09876","title":"Efficient Personalization of Generative User Interfaces","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2605.06981","title":"Bridging Textual Profiles and Latent User Embeddings for Personalization","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2608.27816","title":"PersonaEdit: Representative Sample Selection for Personalized Model Editing","created":"2026-08-28","cited_by_count":0,"area":null}],"next_cursor":null}