Scientific surveys require not only summarizing large bodies of literature, but also organizing them into clear and coherent conceptual structures. However, existing automatic survey generation methods typically focus on linear text generation and struggle to explicitly model hierarchical relations among research topics and structured methodological comparisons, resulting in substantial gaps in structural organization and evidence presentation compared to expert-written surveys. To address this limitation, we propose MVSS, a multi-view structured survey generation framework that jointly generates and aligns citation-grounded hierarchical trees, structured comparison tables, and survey text. MVSS follows a structure-first paradigm: it first constructs a tree that captures the conceptual organization of a research domain, then generates comparison tables constrained by the tree structure, and finally uses both the tree and tables as joint structural constraints to guide outline construction and survey text generation. This design enables complementary and aligned multi-view representations across structure, comparison, and narrative. In addition, we introduce a dedicated evaluation framework that systematically assesses generated surveys from multiple dimensions, including structural quality, comparative completeness, and citation fidelity. Through large-scale experiments on 76 computer science topics, we demonstrate that MVSS significantly outperforms existing methods in survey organization and evidence grounding, and achieves performance comparable to expert-written surveys across multiple evaluation metrics.

翻译：科学综述不仅需要总结大量文献，还需将其组织成清晰连贯的概念结构。然而，现有自动综述生成方法通常聚焦于线性文本生成，难以显式建模研究主题间的层级关系及结构化方法论比较，导致与专家撰写的综述相比，在结构组织和证据呈现方面存在显著差距。为解决这一局限，我们提出MVSS——一个多视角结构化综述生成框架，能够联合生成并对齐基于引文的层级树、结构化比较表格及综述文本。MVSS遵循"结构优先"范式：首先构建表征研究领域概念组织的树结构，随后生成受树结构约束的比较表格，最终以树和表格作为联合结构约束，指导大纲构建与综述文本生成。这种设计使得结构、比较、叙事三个维度的表征能够形成互补且对齐的多视角呈现。此外，我们引入专用评估框架，从结构质量、比较完备性及引文忠实度等多个维度系统评估生成的综述。通过在76个计算机科学主题上的大规模实验，我们证明MVSS在综述组织性与证据溯源方面显著优于现有方法，并在多项评估指标上达到与专家撰写综述相当的性能。