DuMateBench: Evaluation of Autonomous Agents in Real World Workflows

Autonomous agents are increasingly involved in corporate and personal workflows today. But it is a rather difficult problem to evaluate the performance of these agents in the real world. Current benchmarks are often tested in artificial environments and fail to connect with reality.

DuMateBench is a new evaluation platform designed to close this gap:

• There are tasks derived from real user sessions, so it goes beyond artificial scenarios in the laboratory environment
• Data processed from scale production systems using anonymized data with privacy protection
• Not decomposing according to application or skill, testing fully integrated workflows
• Complex measure the actual performance of agents in multi-car tasks

Current benchmarks often test tasks in certain categories by isolated. DuMateBench reveals strong and weak aspects in practical environments of agents by removing these artificial limitations. In this way, researchers and developers can predict how autonomous systems perform in real business environments.

This kind of realistic assessment platforms in the field of artificial intelligence development are critical to increase the production preparation of technology.