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Plans for Evaluating Structured Generative Search Summaries

Tetsuya Sakai, Jina Lee, Hanpei Fang, Young-In Song

arXiv:2605.26400Published May 26, 20260 citations
  • cs.IR
  • cs.AI

Abstract

We propose a framework for evaluating structured generative search summaries that are placed atop organic web search results. A structured summary, generated by a large language model, typically consists of an overview, several sections with section titles, and a list of source documents that are cited within the summary. We then describe our plans for implementing and evaluating the framework.

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