LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries
Paper
• 2508.15760 • Published
• 47
MCP
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LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?
Paper • 2508.01780 • Published • 21 -
API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs
Paper • 2304.08244 • Published • 1 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 160 -
Memp: Exploring Agent Procedural Memory
Paper • 2508.06433 • Published • 36 -
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models
Paper • 2507.12806 • Published • 21 -
Survey on Evaluation of LLM-based Agents
Paper • 2503.16416 • Published • 96 -
AgentBench: Evaluating LLMs as Agents
Paper • 2308.03688 • Published • 26 -
PlanGenLLMs: A Modern Survey of LLM Planning Capabilities
Paper • 2502.11221 • Published • 1 -
AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes
Paper • 2506.14728 • Published -
Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First
Paper • 2509.00997 • Published • 2 -
Small Language Models are the Future of Agentic AI
Paper • 2506.02153 • Published • 24 -
MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools
Paper • 2509.09734 • Published • 16 -
Virtual Agent Economies
Paper • 2509.10147 • Published • 27 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 33 -
ARE: Scaling Up Agent Environments and Evaluations
Paper • 2509.17158 • Published • 36 -
MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use
Paper • 2509.24002 • Published • 176