2026arXiv长文搜索 Agent被引 3 次第一作者
Search, Inspect, Fetch: Exploiting Structure-Aware Boolean Retrieval for Deep-Search Agents
Shuai Wang, Haodong Chen, Yu Yin, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
arXiv preprint (2026)
摘要
Existing deep-research agents typically follow a search-visit workflow that retrieves whole webpages without using the structure already exposed by titles, headings, sections, and metadata. This limits the agent’s ability to target specific parts of a page and often sends unnecessary content into the context window. In this work, we introduce Sieve, a search-inspect-fetch strategy built around a Boolean Query Language (BQL). It filters candidates with field-aware Boolean search, ranks them, presents structure-rich inspection cards, and fetches only the selected sections. Across three question-answering collections, Sieve is more accurate than a strong conventional search-visit baseline while using substantially fewer tokens. The implementation is released in the SkimSearchAgent project.
引用 · BibTeX
@misc{wang2026search,
title = {{Search, Inspect, Fetch: Exploiting Structure-Aware Boolean Retrieval for Deep-Search Agents}},
author = {Shuai Wang and Haodong Chen and Yu Yin and Shengyao Zhuang and Bevan Koopman and Guido Zuccon},
howpublished = {arXiv preprint (2026)},
year = {2026},
url = {https://arxiv.org/abs/2608.02751}
}