{"total":59,"rows":[{"id":"2306.02552","title":"User Behavior Simulation with Large Language Model based Agents","created":"2023-06-05","cited_by_count":140,"area":"agents"},{"id":"2308.16505","title":"Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations","created":"2023-08-31","cited_by_count":131,"area":"agents"},{"id":"2308.14296","title":"RecMind: Large Language Model Powered Agent For Recommendation","created":"2023-08-28","cited_by_count":129,"area":"agents"},{"id":"2310.09233","title":"AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems","created":"2023-10-13","cited_by_count":116,"area":"agents"},{"id":"2310.10108","title":"On Generative Agents in Recommendation","created":"2023-10-16","cited_by_count":90,"area":"agents"},{"id":"2410.17236","title":"Large Language Models Empowered Personalized Web Agents","created":"2024-10-22","cited_by_count":66,"area":"agents"},{"id":"2502.10050","title":"A Survey on LLM-powered Agents for Recommender Systems","created":"2025-02-14","cited_by_count":50,"area":"agents"},{"id":"2507.21206","title":"Agentic Web: Weaving the Next Web with AI Agents","created":"2025-07-28","cited_by_count":45,"area":"agents"},{"id":"2503.02398","title":"PersonaX: A Recommendation Agent Oriented User Modeling Framework for Long Behavior Sequence","created":"2025-03-04","cited_by_count":33,"area":"agents"},{"id":"2504.13192","title":"CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent","created":"2025-04-13","cited_by_count":25,"area":"agents"},{"id":"2502.13843","title":"AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations","created":"2025-02-19","cited_by_count":24,"area":"agents"},{"id":"2502.14662","title":"iAgent: LLM Agent as a Shield between User and Recommender Systems","created":"2025-02-20","cited_by_count":23,"area":"agents"},{"id":"2602.10226","title":"Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents","created":"2026-02-10","cited_by_count":19,"area":"agents"},{"id":"2504.16420","title":"A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms","created":"2025-04-23","cited_by_count":17,"area":"agents"},{"id":"2410.20027","title":"Agentic Feedback Loop Modeling Improves Recommendation and User Simulation","created":"2024-10-26","cited_by_count":16,"area":"agents"},{"id":"2601.08816","title":"MemRec: Collaborative Memory-Augmented Agentic Recommender System","created":"2026-01-13","cited_by_count":15,"area":"agents"},{"id":"2507.02097","title":"The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems","created":"2025-07-02","cited_by_count":14,"area":"agents"},{"id":"2409.11690","title":"ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems","created":"2024-09-18","cited_by_count":10,"area":"agents"},{"id":"2505.23837","title":"CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language","created":"2025-05-28","cited_by_count":8,"area":"agents"},{"id":"2602.08837","title":"AMEM4Rec: Leveraging Cross-User Similarity for Memory Evolution in Agentic LLM Recommenders","created":"2026-02-09","cited_by_count":7,"area":"agents"},{"id":"2601.21609","title":"RecNet: Self-Evolving Preference Propagation for Agentic Recommender Systems","created":"2026-01-29","cited_by_count":6,"area":"agents"},{"id":"2604.02211","title":"Multi-Agent Video Recommenders: Evolution, Patterns, and Open Challenges","created":"2026-04-02","cited_by_count":6,"area":"agents"},{"id":"2605.14401","title":"Agentic Recommender System with Hierarchical Belief-State Memory","created":"2026-05-14","cited_by_count":5,"area":"agents"},{"id":"2605.11874","title":"RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems","created":"2026-05-12","cited_by_count":4,"area":"agents"},{"id":"2606.21228","title":"Sakana Fugu Technical Report","created":"2026-06-19","cited_by_count":4,"area":"agents"},{"id":"2510.05598","title":"AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents","created":"2025-10-07","cited_by_count":3,"area":"agents"},{"id":"2601.16872","title":"From Atom to Community: Structured and Evolving Agent Memory for User Behavior Modeling","created":"2026-01-23","cited_by_count":3,"area":"agents"},{"id":"2604.14972","title":"SAGER: Self-Evolving User Policy Skills for Recommendation Agent","created":"2026-04-16","cited_by_count":3,"area":"agents"},{"id":"2606.28357","title":"ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation","created":"2026-06-08","cited_by_count":3,"area":"agents"},{"id":"2607.29241","title":"RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems","created":"2026-07-31","cited_by_count":3,"area":"agents"},{"id":"2603.10673","title":"Breaking User-Centric Agency: A Tri-Party Framework for Agent-Based Recommendation","created":"2026-03-11","cited_by_count":2,"area":"agents"},{"id":"2607.07108","title":"Seeing and Reflecting: Multimodal Memory-Enhanced Agent Collaboration for Recommendation","created":"2026-07-08","cited_by_count":2,"area":"agents"},{"id":"2512.24113","title":"CogRec: A Cognitive Recommender Agent Fusing Large Language Models and Soar for Explainable Recommendation","created":"2025-12-30","cited_by_count":1,"area":"agents"},{"id":"2602.10490","title":"ChainRec: An Agentic Recommender Learning to Route Tool Chains for Diverse and Evolving Interests","created":"2026-02-11","cited_by_count":1,"area":"agents"},{"id":"2604.10029","title":"Self-Distilled Reinforcement Learning for Co-Evolving Agentic Recommender Systems","created":"2026-04-11","cited_by_count":1,"area":"agents"},{"id":"2604.20846","title":"ADS-POI: Agentic Spatiotemporal State Decomposition for Next Point-of-Interest Recommendation","created":"2026-02-10","cited_by_count":1,"area":"agents"},{"id":"2606.18803","title":"ProfiLLM: Utility-Aligned Agentic User Profiling for Industrial Ride-Hailing Dispatch","created":"2026-06-17","cited_by_count":1,"area":"agents"},{"id":"2606.28368","title":"EvoRec: Self Evolving Agentic Recommender Systems","created":"2026-06-15","cited_by_count":1,"area":"agents"},{"id":"2607.09908","title":"RouteRec: Strict Evaluation of Recommender-Agent Selection and Aggregation","created":"2026-07-10","cited_by_count":1,"area":"agents"},{"id":"2607.21635","title":"Toward User-Conditioned Evaluation of Personal LLM Agents under Temporal Interventions","created":"2026-07-20","cited_by_count":1,"area":"agents"},{"id":"2608.11604","title":"Learning from Online User Feedback for Shopping Agents","created":"2026-08-12","cited_by_count":1,"area":"agents"},{"id":"2512.06590","title":"Towards Efficient Hypergraph and Multi-LLM Agent Recommender Systems","created":"2025-12-06","cited_by_count":0,"area":"agents"},{"id":"2604.19793","title":"SkillGraph: Graph Foundation Priors for LLM Agent Tool Sequence Recommendation","created":"2026-04-07","cited_by_count":0,"area":"agents"},{"id":"2605.25007","title":"Meta-Modal Agent: Sequential Evidence Routing for Missing-Modality Candidate Reranking","created":"2026-05-24","cited_by_count":0,"area":"agents"},{"id":"2606.29762","title":"Do Recommendation Algorithms Work When Users Are LLM Agents? A Case Study on Moltbook","created":"2026-06-29","cited_by_count":0,"area":"agents"},{"id":"2607.25420","title":"MARS: Multi-Agent Re-ranking for Repeat-Order Food Delivery Recommendation","created":"2026-07-28","cited_by_count":0,"area":"agents"},{"id":"2608.06632","title":"Shape Your Feed: An LLM-based Agentic System for Conversational Recommendation","created":"2026-08-06","cited_by_count":0,"area":"agents"},{"id":"2608.08417","title":"Personalized Communication Skills for Agentic Recommender Systems","created":"2026-08-09","cited_by_count":0,"area":"agents"},{"id":"2608.16919","title":"CARA: Cognitive Adaptive Recommendation Agent","created":"2026-08-02","cited_by_count":0,"area":"agents"},{"id":"2608.26895","title":"When Memory Takes Gradients: Collaborative Vector Memory for Agentic Recommender Systems","created":"2026-08-27","cited_by_count":0,"area":"agents"},{"id":"2609.04882","title":"AtomRec: Evolving Atomic Memory for Agentic Recommendation","created":"2026-09-04","cited_by_count":0,"area":"agents"},{"id":"2609.11945","title":"Who Are We Recommending To? Recommender Systems in the Agentic Web","created":"2026-07-22","cited_by_count":0,"area":"agents"},{"id":"2609.21257","title":"Verify, Don't Trust: Agentic Model Development for Video Discovery Retrieval at Scale","created":"2026-09-18","cited_by_count":0,"area":"agents"},{"id":"2609.27155","title":"The Like Trap: Multi-Stage Poisoning against Agents in Similarity-based Recommendation Systems","created":"2026-09-22","cited_by_count":0,"area":"agents"},{"id":"2609.37311","title":"ReMem: Rethinking Perception and Memory in Long-Context Recommendation Agents","created":"2026-09-29","cited_by_count":0,"area":"agents"},{"id":"2609.39551","title":"RankEvolve: A Reliable Multi-Agent Auto-Research Harness for Evolving Ranking Models","created":"2026-09-30","cited_by_count":0,"area":"agents"},{"id":"2610.01705","title":"AgentWebRec: Compact Evidence Fusion over the Agent Web for Personalized Recommendation","created":"2026-10-01","cited_by_count":0,"area":"agents"},{"id":"2610.13989","title":"PsyBer-Agent: A Psychology-Driven User Agent for Recommender Systems","created":"2026-09-26","cited_by_count":0,"area":"agents"},{"id":"2610.16078","title":"Heterogeneous Agentic Coevolution","created":"2026-10-12","cited_by_count":0,"area":"agents"}],"next_cursor":null}