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The Hong Kong University of Science and Technology
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A single misleading document can drastically reduce deep research agents' accuracy by up to 88%, exposing a critical vulnerability in their evidential reasoning capabilities.
Language corrections in PhysClaw-0 not only enhance robot autonomy but also boost success rates by over 35% while slashing human oversight time.
Harnesses can evolve in real-time during evaluation, leading to significant performance gains without retraining the underlying model.
Forget prompt engineering: MOSS lets autonomous agents rewrite their own source code to fix bugs and improve performance in production.
