AI RESEARCH
Evaluating the Search Agent in a Parallel World
arXiv CS.AI
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ArXi:2603.04751v2 Announce Type: replace Integrating web search tools has significantly extended the capability of LLMs to address open-world, real-time, and long-tail problems. However, evaluating these Search Agents presents formidable challenges. First, constructing high-quality deep search benchmarks is prohibitively expensive, while unverified synthetic data often suffers from unreliable sources.