Jiehan Cheng — accepted AI-conference papers

2026

HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches

Jiejun Tan, Zhicheng Dou, Yan Yu, Jiehan Cheng, Lifeng Liu, Jian Xie +1

AAAI 2026technical

Recently, large reasoning models have demonstrated strong mathematical and coding abilities, and deep search leverages their reasoning capabilities in challenging information retrieval tasks. Existing deep search works are generally limited to a single knowledge source, either local or the Web. Howe

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2025

Descriptive and Discriminative Document Identifiers for Generative Retrieval

Jiehan Cheng, Zhicheng Dou, Yutao Zhu, Xiaoxi Li

AAAI 2025technical

Generative document retrieval is a novel retrieval framework, which represents documents as identifiers (DocID) and retrieves documents by generating DocIDs. It has the advantage of end-to-end optimization over traditional retrieval methods and has attracted much research interest. Nonetheless, the…

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