The effectiveness of the Test-Time Diffusion Deep Researcher (TTD-DR) is substantiated through rigorous evaluation across various benchmarks. Specifically, TTD-DR achieves state-of-the-art results on complex tasks, such as generating long-form research reports and addressing multi-hop reasoning queries. Notably, it significantly outperforms existing deep research agents in these areas, as evidenced by win rates of 69.1% and 74.5% compared to OpenAI Deep Research for two long-form benchmarks[1].
Furthermore, comprehensive evaluations showcase TTD-DR's superior performance in generating coherent and comprehensive reports, alongside its ability to find concise answers to challenging queries. This is demonstrated through various datasets, including 'LongForm Research' and 'DeepConsult'[1].
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