{"total":34,"rows":[{"id":"2503.16416","title":"Survey on Evaluation of LLM-based Agents","created":"2025-03-20","cited_by_count":204,"area":"agents"},{"id":"2503.07826","title":"Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation","created":"2025-03-10","cited_by_count":37,"area":"agents"},{"id":"2506.11045","title":"Procedural Environment Generation for Tool-Use Agents","created":"2025-05-21","cited_by_count":24,"area":"agents"},{"id":"2506.13977","title":"CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios","created":"2025-06-11","cited_by_count":19,"area":"agents"},{"id":"2510.07978","title":"VoiceAgentBench: Are Voice Assistants ready for agentic tasks?","created":"2025-10-09","cited_by_count":19,"area":"agents"},{"id":"2603.22862","title":"The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration","created":"2026-03-24","cited_by_count":14,"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":"2606.22388","title":"PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems","created":"2026-06-21","cited_by_count":11,"area":"agents"},{"id":"2411.07098","title":"A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs","created":"2024-11-11","cited_by_count":9,"area":"agents"},{"id":"2509.10769","title":"AgentArch: A Comprehensive Benchmark to Evaluate Agent Architectures in Enterprise","created":"2025-09-13","cited_by_count":8,"area":"agents"},{"id":"2601.00481","title":"MAESTRO: Multi-Agent Evaluation Suite for Testing, Reliability, and Observability","created":"2026-01-01","cited_by_count":7,"area":"agents"},{"id":"2602.04935","title":"ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents","created":"2026-02-04","cited_by_count":6,"area":"agents"},{"id":"2601.00268","title":"Beyond Perfect APIs: A Comprehensive Evaluation of LLM Agents Under Real-World API Complexity","created":"2026-01-01","cited_by_count":5,"area":"agents"},{"id":"2605.27995","title":"AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarios","created":"2026-05-27","cited_by_count":5,"area":"agents"},{"id":"2412.13437","title":"Deploying Foundation Model Powered Agent Services: A Survey","created":"2024-12-18","cited_by_count":4,"area":"agents"},{"id":"2506.11266","title":"Live API-Bench: 2500+ Live APIs for Testing Multi-Step Tool Calling","created":"2025-06-12","cited_by_count":4,"area":"agents"},{"id":"2510.14703","title":"ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling","created":"2025-10-16","cited_by_count":4,"area":"agents"},{"id":"2604.00835","title":"Agentic Tool Use in Large Language Models","created":"2026-04-01","cited_by_count":4,"area":"agents"},{"id":"2508.20931","title":"How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on $\\tau$-bench","created":"2025-08-28","cited_by_count":3,"area":"agents"},{"id":"2601.19914","title":"Simulating Complex Multi-Turn Tool Calling Interactions in Stateless Execution Environments","created":"2026-01-06","cited_by_count":3,"area":"agents"},{"id":"2507.09481","title":"Evaluating LLMs on Sequential API Call Through Automated Test Generation","created":"2025-07-13","cited_by_count":2,"area":"agents"},{"id":"2606.02908","title":"WRIT: Write-Read Intensive Trajectory Synthesis for Multi-Turn User-Facing Agents","created":"2026-06-01","cited_by_count":2,"area":"agents"},{"id":"2608.18171","title":"Looped Language Models Improve Compositional Tool Calling","created":"2026-08-17","cited_by_count":2,"area":"agents"},{"id":"2609.01736","title":"Harness Engineering in LLM Tool Use via Agent-Native Reusable Tool Primitives","created":"2026-09-01","cited_by_count":2,"area":"agents"},{"id":"2509.01560","title":"In-N-Out: A Parameter-Level API Graph Dataset for Tool Agents","created":"2025-09-01","cited_by_count":1,"area":"agents"},{"id":"2604.10261","title":"The Amazing Agent Race: Strong Tool Users, Weak Navigators","created":"2026-04-11","cited_by_count":1,"area":"agents"},{"id":"2605.12521","title":"ToolWeave: Structured Synthesis of Complex Multi-Turn Tool-Calling Dialogues","created":"2026-04-03","cited_by_count":1,"area":"agents"},{"id":"2510.17874","title":"Repairing Tool Calls Using Post-tool Execution Reflection and RAG","created":"2025-10-17","cited_by_count":0,"area":"agents"},{"id":"2605.16790","title":"TIER: Trajectory-Invariant Execution Rewards for Multi-Step Tool Composition","created":"2026-05-16","cited_by_count":0,"area":"agents"},{"id":"2607.02595","title":"Attributing Structured-Output Gains in Function Calling: Interface Alignment versus Procedural Transfer","created":"2026-07-01","cited_by_count":0,"area":"agents"},{"id":"2607.29250","title":"Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation","created":"2026-07-31","cited_by_count":0,"area":"agents"},{"id":"2608.08700","title":"PluginEval: A Diagnostic Benchmark for Fine-Grained Error Attribution in Function Calling","created":"2026-08-09","cited_by_count":0,"area":"agents"},{"id":"2610.03894","title":"Proxy Confidence: Auditing Black-Box LLM Agents with a Surrogate's Log-Probabilities","created":"2026-10-02","cited_by_count":0,"area":"agents"},{"id":"2610.04375","title":"Do Tool Calls Execute as Intended? Measuring and Repairing Intent-Execution Correspondence in LLM Agents","created":"2026-10-03","cited_by_count":0,"area":"agents"}],"next_cursor":null}