Our framework targets search and reasoning-intensive user queries that current state-of-the-art LLMs cannot fully address.
Unknown[1]
We propose a Test-Time Diffusion Deep Researcher, a novel test-time diffusion framework that enables the iterative drafting and revision of research reports.
Unknown[1]
By incorporating external information at each step, the denoised draft becomes more coherent and precise.
Unknown[1]
This draft-centric design makes the report writing process more timely and coherent while reducing information loss.
Unknown[1]
Our TTD-DR achieves state-of-the-art results on a wide array of benchmarks that require intensive search and multi-hop reasoning.
Unknown[1]
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