{"total":19,"rows":[{"id":"2503.16416","title":"Survey on Evaluation of LLM-based Agents","created":"2025-03-20","cited_by_count":204,"area":"agents"},{"id":"2503.22458","title":"Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey","created":"2025-03-28","cited_by_count":57,"area":"agents"},{"id":"2410.07869","title":"Benchmarking Agentic Workflow Generation","created":"2024-10-10","cited_by_count":37,"area":"agents"},{"id":"2603.22386","title":"From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents","created":"2026-03-23","cited_by_count":24,"area":"agents"},{"id":"2505.18646","title":"SEW: Self-Evolving Agentic Workflows for Automated Code Generation","created":"2025-05-24","cited_by_count":20,"area":"agents"},{"id":"2506.11102","title":"Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey","created":"2025-06-06","cited_by_count":13,"area":"agents"},{"id":"2505.17767","title":"Position: The Real Barrier to LLM Agent Usability is Agentic ROI","created":"2025-05-23","cited_by_count":12,"area":"agents"},{"id":"2506.07388","title":"Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents","created":"2025-06-09","cited_by_count":12,"area":"agents"},{"id":"2504.16939","title":"A Desideratum for Conversational Agents: Capabilities, Challenges, and Future Directions","created":"2025-04-07","cited_by_count":9,"area":"agents"},{"id":"2504.03553","title":"Agentic Knowledgeable Self-awareness","created":"2025-04-04","cited_by_count":8,"area":"agents"},{"id":"2606.05622","title":"AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints","created":"2026-06-04","cited_by_count":7,"area":"agents"},{"id":"2603.15483","title":"Talk, Evaluate, Diagnose: User-aware Agent Evaluation with Automated Error Analysis","created":"2026-03-16","cited_by_count":6,"area":"agents"},{"id":"2605.16508","title":"The Scaling Laws of Skills in LLM Agent Systems","created":"2026-05-15","cited_by_count":3,"area":"agents"},{"id":"2505.01592","title":"AURA: A Diagnostic Framework for Tracking User Satisfaction of Interactive Planning Agents","created":"2025-05-02","cited_by_count":2,"area":"agents"},{"id":"2606.11070","title":"T1-Bench: Benchmarking Multi-Scenario Agents in Real-World Domains","created":"2026-06-09","cited_by_count":2,"area":"agents"},{"id":"2609.09153","title":"Procedural Graphs: Self-Evolving Execution Structures for LLM Agents","created":"2026-09-08","cited_by_count":1,"area":"agents"},{"id":"2606.06388","title":"Humans' ALMANAC: A Human Collaboration Dataset of Action-Level Mental Model Annotations for Agent Collaboration","created":"2026-06-04","cited_by_count":0,"area":"agents"},{"id":"2608.21341","title":"Natural-Language Workflows Are Not Software Yet: Artifact-Driven Compilation for Reliable Agent Execution","created":"2026-08-21","cited_by_count":0,"area":"agents"},{"id":"2610.18881","title":"Following the Flow the Law Requires: Training Voice Agents to Transfer to Unseen Regulated Procedures in Debt Collection","created":"2026-10-01","cited_by_count":0,"area":"agents"}],"next_cursor":null}