{"total":24,"rows":[{"id":"2308.14296","title":"RecMind: Large Language Model Powered Agent For Recommendation","created":"2023-08-28","cited_by_count":129,"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":"2504.13192","title":"CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent","created":"2025-04-13","cited_by_count":25,"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":"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":"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":"2604.02211","title":"Multi-Agent Video Recommenders: Evolution, Patterns, and Open Challenges","created":"2026-04-02","cited_by_count":6,"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":"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":"2604.20846","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":"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":"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":"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":"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":"2609.27155","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"}],"next_cursor":null}