✨AgentSearchBench: A Benchmark for AI Agent Search in the Wild
📝 Summary:
AgentSearchBench is a new benchmark for finding suitable AI agents using execution-grounded performance signals from nearly 10,000 real-world agents. It shows that description-based similarity is insufficient, and lightweight behavioral signals significantly improve agent ranking.
🔹 Publication Date: Published on Apr 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.22436
• PDF: https://arxiv.org/pdf/2604.22436
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#AI #AIAgents #Benchmarking #AgentSearch #MachineLearning
📝 Summary:
AgentSearchBench is a new benchmark for finding suitable AI agents using execution-grounded performance signals from nearly 10,000 real-world agents. It shows that description-based similarity is insufficient, and lightweight behavioral signals significantly improve agent ranking.
🔹 Publication Date: Published on Apr 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.22436
• PDF: https://arxiv.org/pdf/2604.22436
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#AI #AIAgents #Benchmarking #AgentSearch #MachineLearning