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ScaffoldAgent framework dynamically optimizes research outlines

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced ScaffoldAgent, a novel framework designed to enhance open-ended deep research by dynamically optimizing report outlines. This system employs a utility-guided feedback mechanism to manage outline evolution through expansion, contraction, and revision operations. Experiments on DeepResearch Bench and DeepResearch Gym indicate that ScaffoldAgent improves long-form report generation and factual grounding compared to existing deep research agents. AI

IMPACT Enhances AI capabilities in complex research tasks by improving report generation and factual accuracy.

RANK_REASON The cluster contains a research paper detailing a new framework for AI-assisted research.

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

ScaffoldAgent framework dynamically optimizes research outlines

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Zhibang Yang, Xinke Jiang, Yuzhen Xiao, Ruizhe Zhang, Yue Fang, XinFei Wan, Zhengxing Song, Yuxuan Liu, Yuheng Huang, Xu Chu, Junfeng Zhao, Yasha Wang ·

    ScaffoldAgent: Utility-Guided Dynamic Outline Optimization for Open-Ended Deep Research

    arXiv:2606.20122v1 Announce Type: new Abstract: Open-ended deep research (OEDR) requires systems to acquire knowledge through multi-round retrieval and generate coherent long-form reports. The outline plays a central role as a structural scaffold that coordinates retrieval, evide…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Yasha Wang ·

    ScaffoldAgent: Utility-Guided Dynamic Outline Optimization for Open-Ended Deep Research

    Open-ended deep research (OEDR) requires systems to acquire knowledge through multi-round retrieval and generate coherent long-form reports. The outline plays a central role as a structural scaffold that coordinates retrieval, evidence organization, and generation. However, exist…

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