Unverified50% confidenceFactExact time
τ2-bench is a benchmark specifically designed to evaluate large models' tool-calling capabilities, simulating complex multi-step tool-calling scenarios that agents need to handle in the real world.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/5/2026
First Seen
Valid until: 12/4/2026
Sources
Related Entities
Related Claims
VerifiedTerminal-Bench is a benchmark specifically designed to evaluate AI models' ability to execute complex tasks in command-line environments, covering scenarios such as file operations, script writing, and system debugging.69% similarUnverifiedSkillSpector supports two detection modes: local rule-based static scanning that requires no model, and deep semantic analysis that connects to a large language model.69% similarUnverifiedThe benchmark adopts a fully automated dual-dimension evaluation approach, covering a functional testing dimension and a visual fidelity dimension.69% similarUnverified鸿蒙自动化测试是典型长链路任务，涉及跨领域知识融合、强依赖性和反馈循环，链路从读取需求到测试用例设计、脚本执行、输出测试报告69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/860337API
curl https://kongchang.com/api/v1/knowledge/claims/860337MCP
get_claim(id=860337)