LiveClawBench Evaluates Real-World Assistant Tasks
jiqizhixin · x · 2026-07-12
Researchers from Samsung, HKUST, CityU, and PKU introduced LiveClawBench to evaluate AI assistants on complex, real-world tasks.
Core Design
- Employs a Triple-Axis Complexity Framework
- Uses full-stack mock apps to retain stateful interactions, closely mimicking real environments
- Covers 10 domains and 22 services with a total of 134 cases
Conclusion
The authors argue that this benchmark tests "real-world complex assistant tasks" better than existing benchmarks, especially for multi-turn, cross-service scenarios requiring state management. The post includes links to the paper, GitHub, and report.
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