{"total":17,"rows":[{"id":"2506.02064","title":"The Measurement Imbalance in Agentic AI Evaluation Undermines Industry Productivity Claims","created":"2025-06-01","cited_by_count":14,"area":"agents"},{"id":"2507.18165","title":"ProactiveVA: Proactive Visual Analytics with LLM-Based UI Agent","created":"2025-07-24","cited_by_count":14,"area":"agents"},{"id":"2506.24045","title":"Agent.xpu: Efficient Scheduling of Agentic LLM Workloads on Heterogeneous SoC","created":"2025-06-30","cited_by_count":11,"area":"agents"},{"id":"2412.15242","title":"Script-Based Dialog Policy Planning for LLM-Powered Conversational Agents: A Basic Architecture for an \"AI Therapist\"","created":"2024-12-13","cited_by_count":7,"area":"agents"},{"id":"2602.03548","title":"SEAD: Self-Evolving Agent for Multi-Turn Service Dialogue","created":"2026-02-03","cited_by_count":7,"area":"agents"},{"id":"2509.24380","title":"Agentic Services Computing","created":"2025-09-29","cited_by_count":6,"area":"agents"},{"id":"2501.09355","title":"YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks","created":"2025-01-16","cited_by_count":4,"area":"agents"},{"id":"2605.30152","title":"Do Proactive Agents Really Need an LLM to Decide When to Wake and What to Anchor?","created":"2026-05-28","cited_by_count":2,"area":"agents"},{"id":"2609.03727","title":"Proactive Service Agents: A Unified Decision Framework, Methods, and Evaluation","created":"2026-09-03","cited_by_count":2,"area":"agents"},{"id":"2602.22697","title":"Reinforcing Real-world Service Agents: Balancing Utility and Cost in Task-oriented Dialogue","created":"2026-02-26","cited_by_count":1,"area":"agents"},{"id":"2604.09579","title":"Help Without Being Asked: A Deployed Proactive Agent System for On-Call Support with Continuous Self-Improvement","created":"2026-02-25","cited_by_count":1,"area":"agents"},{"id":"2608.30478","title":"Agents in the Large: Perception-Centered Architecture for Persistent Agents","created":"2026-08-31","cited_by_count":1,"area":"agents"},{"id":"2604.10968","title":"YIELD: A Large-Scale Dataset and Evaluation Framework for Information Elicitation Agents","created":"2026-04-13","cited_by_count":0,"area":"agents"},{"id":"2608.14132","title":"Act2Intention: A Benchmark For Developing Active Mobile Agents Through Inferring User Intention from GUI Actions","created":"2026-08-14","cited_by_count":0,"area":"agents"},{"id":"2608.22266","title":"Clarify User Expertise: Towards Proactive Conversational Agents Tailoring Responses to User Proficiency","created":"2026-08-23","cited_by_count":0,"area":"agents"},{"id":"2609.11101","title":"ProMediConv: Benchmarking Proactive Conversational Agents in Legal Dispute Mediation","created":"2026-09-10","cited_by_count":0,"area":"agents"},{"id":"2609.37267","title":"Foundations of Proactive Agents: Principles, Technical Layers, and Proactivity-Gym","created":"2026-09-29","cited_by_count":0,"area":"agents"}],"next_cursor":null}