Artificial Intelligence #scaffoldagent#deep research
ScaffoldAgent: Utility-Guided Dynamic Outline Optimization for Open-Ended Deep Research
ScaffoldAgent, a utility-guided dynamic outline optimization framework for open-ended deep research, models outline evolution as a structured decision process with three operations: Expansion, Contraction, and Revision. It uses a utility-guided feedback mechanism to estimate the downstream value of each operation from retrieval gain, structural coherence, and trial-generation quality. Experiments on DeepResearch Bench and DeepResearch Gym show consistent improvements in long-form report generation and factual grounding over existing deep research agents.
Jun 20, 2026 1 source