title: SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and
    Multi-dimensional Evaluation for Automated Survey Writing
summary: Survey paper plays a crucial role in scientific research, especially given
  the rapid growth of research publications. Recently, researchers have begun
  using LLMs to automate survey generation for better efficiency. However, the
  quality gap between LLM-generated surveys and those written by human remains
  significant, particularly in terms of outline quality and citation accuracy. To
  close these gaps, we introduce SurveyForge, which first generates the outline
  by analyzing the logical structure of human-written outlines and referring to
  the retrieved domain-related articles. Subsequently, leveraging high-quality
  papers retrieved from memory by our scholar navigation agent, SurveyForge can
  automatically generate and refine the content of the generated article.
  Moreover, to achieve a comprehensive evaluation, we construct SurveyBench,
  which includes 100 human-written survey papers for win-rate comparison and
  assesses AI-generated survey papers across three dimensions: reference,
  outline, and content quality. Experiments demonstrate that SurveyForge can
  outperform previous works such as AutoSurvey.
paper_authors._id: 67cfbab6607797f40c6d4164
paper_authors.name: Xiangchao Yan
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-03-11T14:39:44.870Z
paper_authors._id: 65b88b92e0bde92c176a888a
paper_authors.avatarUrl: /avatars/fc1cb54328ca93860e97fc73a3c1eb2f.svg
paper_authors.fullname: Xiangchao Yan
paper_authors.type: user
paper_authors.user: yxc97
paper_authors._id: 67cfbab6607797f40c6d4165
paper_authors.name: Shiyang Feng
paper_authors._id: 67cfbab6607797f40c6d4166
paper_authors.name: Jiakang Yuan
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-03-11T14:39:59.177Z
paper_authors._id: 64a3d1ddb3239f3e3892b24b
paper_authors.avatarUrl: /avatars/7ce585f5fc1d077fb1d70cc18c4da2c1.svg
paper_authors.fullname: Jiakang Yuan
paper_authors.type: user
paper_authors.user: JiakangYuan
paper_authors._id: 67cfbab6607797f40c6d4167
paper_authors.name: Renqiu Xia
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-03-11T14:40:04.859Z
paper_authors._id: 65b7ae76768464877cdb2e39
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/65b7ae76768464877cdb2e39/uAWPo4tpkqbZoDeEkc7y0.jpeg
paper_authors.fullname: Renqiu Xia
paper_authors.type: user
paper_authors.user: renqiux0302
paper_authors._id: 67cfbab6607797f40c6d4168
paper_authors.name: Bin Wang
paper_authors._id: 67cfbab6607797f40c6d4169
paper_authors.name: Bo Zhang
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-03-11T14:40:19.430Z
paper_authors._id: 643dfd235aafbdca3a5792c0
paper_authors.avatarUrl: /avatars/ce8553cf5936012c692e08054ee27937.svg
paper_authors.fullname: Bo Zhang
paper_authors.type: user
paper_authors.user: BoZhang
paper_authors._id: 67cfbab6607797f40c6d416a
paper_authors.name: Lei Bai
paper_title: SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and
    Multi-dimensional Evaluation for Automated Survey Writing
paper_summary: Survey paper plays a crucial role in scientific research, especially given
  the rapid growth of research publications. Recently, researchers have begun
  using LLMs to automate survey generation for better efficiency. However, the
  quality gap between LLM-generated surveys and those written by human remains
  significant, particularly in terms of outline quality and citation accuracy. To
  close these gaps, we introduce SurveyForge, which first generates the outline
  by analyzing the logical structure of human-written outlines and referring to
  the retrieved domain-related articles. Subsequently, leveraging high-quality
  papers retrieved from memory by our scholar navigation agent, SurveyForge can
  automatically generate and refine the content of the generated article.
  Moreover, to achieve a comprehensive evaluation, we construct SurveyBench,
  which includes 100 human-written survey papers for win-rate comparison and
  assesses AI-generated survey papers across three dimensions: reference,
  outline, and content quality. Experiments demonstrate that SurveyForge can
  outperform previous works such as AutoSurvey.
paper_ai_summary: SurveyForge automates survey paper generation by refining outlines and content, outperforming previous methods in reference, outline, and content quality.
paper_ai_keywords: LLMs SurveyForge scholar navigation agent SurveyBench AutoSurvey