发表机构
Inforience Inc.（Inforience 公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
ShadowMiner v1是一个九阶段流水线，从AI论文中自动发现研究问题并生成假设，通过知识图谱间隙引导LLM生成，并验证假设的新颖性、质量与事实准确性；本报告分享其实现与测量经验。
AI 中文摘要
ShadowMiner v1 是一个能够自动从人工智能论文中发现研究问题并生成假设的系统。它由九个阶段组成。该系统将文档结构化为知识图谱，并在其中寻找图谱间隙——即研究中的结构性盲点。这些图谱间隙被包含在大型语言模型（LLM）的生成提示中。随后，每个生成的假设都会通过检查其是否已被现有研究覆盖、对其质量进行评分，以及核验其依赖的事实是否准确来源于其出处来加以验证。本报告并未提出新的生成或评估技术，而是描述了我们在实现和应用先前工作中的想法，以及衡量每个想法是否确实有所贡献的经验。
英文摘要
ShadowMiner v1 is a system that automatically discovers research problems and generates hypotheses from AI papers. It is a nine-stage pipeline. It structures documents into a knowledge graph and finds graph gaps in it - structural blind spots in research. These graph gaps are included in the LLM generation prompt. Each generated hypothesis is then verified by checking whether it is already covered by existing research, scoring its quality, and checking that the facts it relies on are accurately drawn from its sources. This report does not propose a new generation or evaluation technique. It describes our experience of implementing and applying ideas from prior work, and measuring whether each one actually contributed.
