{"total":33,"rows":[{"id":"2308.10053","title":"Large Language Models as Zero-Shot Conversational Recommenders","created":"2023-08-19","cited_by_count":127,"area":null},{"id":"2209.10117","title":"A Comprehensive Survey on Trustworthy Recommender Systems","created":"2022-09-21","cited_by_count":32,"area":null},{"id":"2208.06265","title":"Trustworthy Recommender Systems","created":"2022-08-10","cited_by_count":21,"area":null},{"id":"2305.18569","title":"Fairness of ChatGPT","created":"2023-05-22","cited_by_count":20,"area":null},{"id":"2306.00403","title":"A Survey on Fairness-aware Recommender Systems","created":"2023-06-01","cited_by_count":14,"area":null},{"id":"2407.06083","title":"A Survey of Controllable Learning: Methods and Applications in Information Retrieval","created":"2024-07-04","cited_by_count":12,"area":null},{"id":"2407.18454","title":"Fairness Definitions in Language Models Explained","created":"2024-07-26","cited_by_count":11,"area":null},{"id":"2406.03820","title":"A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions","created":"2024-06-06","cited_by_count":10,"area":null},{"id":"2507.18365","title":"RecPS: Privacy Risk Scoring for Recommender Systems","created":"2025-07-24","cited_by_count":4,"area":null},{"id":"2308.00894","title":"User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations","created":"2023-08-02","cited_by_count":3,"area":null},{"id":"2410.13248","title":"Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation","created":"2024-10-17","cited_by_count":3,"area":null},{"id":"2507.16829","title":"You Don't Bring Me Flowers: Mitigating Unwanted Recommendations Through Conformal Risk Control","created":"2025-07-09","cited_by_count":3,"area":null},{"id":"2402.03481","title":"FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning","created":"2024-02-05","cited_by_count":2,"area":null},{"id":"2406.01363","title":"Privacy in LLM-based Recommendation: Recent Advances and Future Directions","created":"2024-06-03","cited_by_count":2,"area":null},{"id":"2505.10940","title":"Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation","created":"2025-05-16","cited_by_count":2,"area":null},{"id":"2511.22515","title":"Privacy-Utility-Bias Trade-offs for Privacy-Preserving Recommender Systems","created":"2025-11-27","cited_by_count":2,"area":null},{"id":"2303.09527","title":"Fairness-aware Differentially Private Collaborative Filtering","created":"2023-03-16","cited_by_count":1,"area":null},{"id":"2310.16335","title":"Defense Against Model Extraction Attacks on Recommender Systems","created":"2023-10-25","cited_by_count":1,"area":null},{"id":"2408.00166","title":"Review of Explainable Graph-Based Recommender Systems","created":"2024-07-31","cited_by_count":1,"area":null},{"id":"2505.21388","title":"From Aggregation to Selection: User-Validated Distributed Social Recommendation","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2311.09680","title":"Trustworthy Large Models in Vision: A Survey","created":"2023-11-16","cited_by_count":0,"area":null},{"id":"2401.12700","title":"Securing Recommender System via Cooperative Training","created":"2024-01-23","cited_by_count":0,"area":null},{"id":"2404.00261","title":"A Simple Yet Effective Approach for Diversified Session-Based Recommendation","created":"2024-03-30","cited_by_count":0,"area":null},{"id":"2405.01849","title":"Stability of Explainable Recommendation","created":"2024-05-03","cited_by_count":0,"area":null},{"id":"2405.01855","title":"Robust Explainable Recommendation","created":"2024-05-03","cited_by_count":0,"area":null},{"id":"2410.15272","title":"Performance-Driven QUBO for Recommender Systems on Quantum Annealers","created":"2024-10-20","cited_by_count":0,"area":null},{"id":"2507.19067","title":"PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2507.19283","title":"Towards LLM-Enhanced Group Recommender Systems","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2508.11943","title":"Learning Marked Temporal Point Process Explanations based on Counterfactual and Factual Reasoning","created":"2025-08-16","cited_by_count":0,"area":null},{"id":"2508.19620","title":"A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions","created":"2025-08-27","cited_by_count":0,"area":null},{"id":"2508.20312","title":"ELIXIR: Efficient and LIghtweight model for eXplaIning Recommendations","created":"2025-08-27","cited_by_count":0,"area":null},{"id":"2601.19197","title":"HELM: A Human-Centered Evaluation Framework for LLM-Powered Recommender Systems","created":"2026-01-27","cited_by_count":0,"area":null},{"id":"2610.14356","title":"Actionable Meta-Requirements for AI Robustness Auditing","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}