OpenDS
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- OpenDS-World tests agents on real-web deep search
A multi-institution team introduced OpenDS, a deep-search task paradigm, and OpenDS-World, a 200-task benchmark for research agents operating across the open web. According to 机器之心, the tasks cover four modalities, 42 resource formats and seven evidence-access requirements; GPT-6 Astra led the 12 tested models with 39.0% accuracy, while Claude Opus 5.5 and Gemini 3.8 Flash scored 38.0% and 36.5%. The evaluation also records tool failures, execution time, search termination decisions and other execution traces.
机器之心 · 🔥 3
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