具备测试时扩散能力的深度研究员

We introduce Test-Time Diffusion Deep Researcher (TTD-DR), a framework that uses a Deep Research agent to draft and revise its own drafts using high-quality retrieved information. This approach achieves new state-of-the-art results in writing long-form research reports and completing complex reasoning tasks.

我们推出 Test-Time Diffusion Deep Researcher (TTD-DR)，一个利用 Deep Research agent 借助高质量检索信息起草并自我修订草稿的框架。该方法在撰写长篇研究报告和完成复杂推理任务上取得了新的最先进成果。

The recent advances in large language models (LLMs) have fueled the emergence of deep research (DR) agents. These agents demonstrate remarkable capabilities, including the generation of novel ideas, efficient information retrieval, experimental execution, and the subsequent drafting of comprehensive reports and academic papers.

近期大型语言模型（LLM）的进展催生了深度研究（DR）智能体。这些智能体展现出卓越能力，包括新颖想法的生成、高效的信息检索、实验执行，以及随后撰写详尽报告和学术论文。

Currently, most public DR agents use a variety of clever techniques to improve their results, like performing reasoning via chain-of-thought or generating multiple answers and selecting the best one. While they've made impressive progress, they often bolt different tools together without considering the iterative nature of human research. They're missing the key process (i.e., planning, drafting, researching, and iterating based on feedback) on which people rely when writing a paper about a complex topic. A key part of that revision process is to do more research to find missing information or strengthen your arguments. This human pattern is surprisingly similar to the mechanism of retrieval-augmented diffusion models that start with a “noisy” or messy output and gradually refine it into a high-quality result. What if an AI agent's rough draft is the noisy version, and a search tool acts as the denoising step that cleans it up with new facts?

目前，大多数公开 DR 智能体采用各种巧妙技术来提升结果，例如通过思维链进行推理，或生成多个答案并挑选最佳者。尽管它们取得了令人瞩目的进展，但往往只是将不同工具简单拼接，而没有考虑人类研究的迭代本质。它们缺失了人们在撰写复杂主题论文时所依赖的关键流程（即规划、起草、研究、基于反馈迭代）。修订过程中的一个关键环节是进行更多研究，以寻找缺失信息或强化论点。这一人类模式与检索增强扩散模型的机制惊人地相似：从“噪声”或混乱的输出开始，逐步精炼为高质量结果。如果 AI 智能体的...