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LiveAgentBench: Comprehensive Benchmarking of Agentic Systems Across 104 Real-World Challenges

arXiv – CS AI|Hao Li, Huan Wang, Jinjie Gu, Wenjie Wang, Chenyi Zhuang, Sikang Bian|March 4, 2026 at 05:00 AM|1 views

🤖AI Summary

Researchers have released LiveAgentBench, a comprehensive benchmark featuring 104 real-world scenarios to evaluate AI agent performance across practical applications. The benchmark uses a novel Social Perception-Driven Data Generation method to ensure tasks reflect actual user requirements and includes 374 total tasks for testing various AI models and frameworks.

Key Takeaways

→LiveAgentBench addresses limitations in existing AI agent benchmarks by using real-world user tasks sourced from social media and products.
→The benchmark includes 104 scenarios with 374 total tasks, split between validation and testing sets.
→A novel Social Perception-Driven Data Generation method ensures task relevance, complexity, and verifiability.
→The benchmark enables evaluation of various AI models, frameworks, and commercial products to identify performance gaps.
→The system allows for continuous updates with fresh queries from real-world interactions.

#ai-agents #benchmark #evaluation #real-world-tasks #language-models #performance-testing #research #ai-frameworks

Read Original →via arXiv – CS AI

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