A

Deep Research: A Systematic Survey

Preprints.org

Abstract

Large language models (LLMs) have rapidly evolved from text generators into powerful problem solvers. Yet, many open tasks demand critical thinking, multi-source, and verifiable outputs, which are beyond single-shot prompting or standard retrieval-augmented generation. Recently, numerous studies have explored Deep Research (DR), which aims to combine the reasoning capabilities of LLMs with external tools, such as search engines, thereby empowering LLMs to act as research agents capable of completing complex, open-ended tasks. This survey presents a comprehensive and systematic overview of deep research systems, including a clear roadmap, foundational components, practical implementation techniques, important challenges, and future directions. Specifically, our main contributions are as follows: (i) we formalize a three-stage roadmap and distinguish deep research from related paradigms; (ii) we introduce four key components: query planning, information acquisition, memory management, and answer generation, each paired with fine-grained sub-taxonomies; (iii) we summarize optimization techniques, including prompting, supervised fine-tuning, and agentic reinforcement learning; and (iv) we consolidate evaluation criteria and open challenges, aiming to guide and facilitate future development. As the field of deep research continues to evolve rapidly, we are committed to continuously updating this survey to reflect the latest progress in this area.

Authors 21

  1. Renmin University of China

    Affiliation as printed

    Renmin University of China

  2. Tsinghua University

    Affiliation as printed

    Tsinghua University

  3. Carnegie Mellon University

    Affiliation as printed

    Carnegie Mellon University

  4. University of Amsterdam

    Affiliation as printed

    University of Amsterdam

  5. University of Massachusetts Amherst

    Affiliation as printed

    University of Massachusetts Amherst

  6. University of Illinois Urbana-Champaign

    Affiliation as printed

    University of Illinois Urbana-Champaign

  7. Westlake University

    Affiliation as printed

    Westlake University

  8. Westlake University

    Affiliation as printed

    Westlake University

  9. Westlake University

    Affiliation as printed

    Westlake University

  10. University of Arizona

    Affiliation as printed

    University of Arizona

  11. Qu Yang Aachen

    Leiden University

    Affiliation as printed

    Tencent 12 Leiden University

  12. Jiang Wu Aachen

    Leiden University

    Affiliation as printed

    Tencent 12 Leiden University

  13. Xiaqiang Tang Aachen

    Leiden University

    Affiliation as printed

    Tencent 12 Leiden University

  14. Xin Ma Aachen

    Leiden University

    Affiliation as printed

    Tencent 12 Leiden University

  15. Tsinghua University

    Affiliation as printed

    Tsinghua University

  16. Tsinghua University

    Affiliation as printed

    Tsinghua University

  17. Renmin University of China

    Affiliation as printed

    Renmin University of China

  18. Westlake University

    Affiliation as printed

    Westlake University

  19. Carnegie Mellon University

    Affiliation as printed

    Carnegie Mellon University

  20. Zhaopeng Tu corresponding Aachen

    Leiden University

    Affiliation as printed

    Tencent 12 Leiden University

  21. Zhaochun Ren corresponding

Cited by 1 stored of 1

1 result

No patents citing this paper on Lens.org (checked 2026-10-11).

References 0