Web research benchmark exposes persistent limits in autonomous search agents

Across 200 tasks requiring evidence from multiple live Web sources, the strongest of 12 tested models answered 39.0% correctly.

Big Tech
Xiaomin Yu · Hongliang Chen · Zhe Huang · Shilin Yan · Shao-Rong Su · Xuqiao Ma · +19 more

HKUST(GZ) · FDU · UW · IC · NTU

Research Digest··2 min read
Yu and colleagues introduce OpenDS-World, a benchmark testing whether AI agents can follow complex evidence trails across the live Web rather than retrieve answers from a fixed collection.

The authors constructed 200 tasks across eight domains, including science, history, culture and technology.

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