AI RESEARCH
An Interactive Paradigm for Deep Research
arXiv CS.AI
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ArXi:2605.24266v1 Announce Type: cross Recent advances in large language models (LLMs) have enabled deep research systems that synthesize comprehensive, report-style answers to open-ended queries by combining retrieval, reasoning, and generation. Yet most frameworks rely on rigid workflows with one-shot scoping and long autonomous runs, offering little room for