Ganlin Xu — accepted AI-conference papers

2026

ComLQ: Benchmarking Complex Logical Queries in Information Retrieval

Ganlin Xu, Zhitao Yin, Linghao Zhang, Jiaqing Liang, Weijia Lu, Xiaodong Zhang +3

AAAI 2026technical

Information retrieval (IR) systems play a critical role in navigating information overload across various applications. Existing IR benchmarks primarily focus on simple queries that are semantically analogous to single- and multi-hop relations, overlooking complex logical queries involving first-ord

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2025

Logical Consistency is Vital: Neural-Symbolic Information Retrieval for Negative-Constraint Queries

Ganlin Xu, Zhoujia Zhang, Wangyi Mei, Jiaqing Liang, Weijia Lu, Xiaodong Zhang +4

ACL 2025finding

Information retrieval plays a crucial role in resource localization. Current dense retrievers retrieve the relevant documents within a corpus via embedding similarities, which compute similarities between dense vectors mainly depending on word co-occurrence between queries and documents, but overloo…

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