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通用深度研究:自帶模型與策略

Universal Deep Research: Bring Your Own Model and Strategy

August 29, 2025
作者: Peter Belcak, Pavlo Molchanov
cs.AI

摘要

深度研究工具是当今最具影响力且最常遇到的代理系统之一。然而,我们观察到,迄今为止引入的每个深度研究代理都是硬编码的,以使用固定的工具选择执行特定的研究策略。我们引入了通用深度研究(Universal Deep Research, UDR),这是一个通用型代理系统,它能够包裹任何语言模型,并让用户创建、编辑和优化他们自己完全定制的深度研究策略,而无需任何额外的训练或微调。为了展示我们系统的通用性,我们为UDR配备了最小化、扩展化和深入化的研究策略示例,并提供了一个用户界面,以便于对该系统进行实验。
English
Deep research tools are among the most impactful and most commonly encountered agentic systems today. We observe, however, that each deep research agent introduced so far is hard-coded to carry out a particular research strategy using a fixed choice of tools. We introduce Universal Deep Research (UDR), a generalist agentic system that wraps around any language model and enables the user to create, edit, and refine their own entirely custom deep research strategies without any need for additional training or finetuning. To showcase the generality of our system, we equip UDR with example minimal, expansive, and intensive research strategies, and provide a user interface to facilitate experimentation with the system.
PDF101September 3, 2025