3 papers
cs.IR2026
Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries
Yuxiang Guo, Zhonghao Hu, Yuren Mao +5
Multimodal document retrieval--selecting the most relevant multimodal document from a large corpus to answer a natural language query--plays an essential role in Retrieval-Augmente…
cs.DB2025
Birdie: Natural Language-Driven Table Discovery Using Differentiable Search Index
Yuxiang Guo, Zhonghao Hu, Yuren Mao +3
Natural language (NL)-driven table discovery identifies relevant tables from large table repositories based on NL queries. While current deep-learning-based methods using the tradi…
cs.DB2025
Snoopy: Effective and Efficient Semantic Join Discovery via Proxy Columns
Yuxiang Guo, Yuren Mao, Zhonghao Hu +2
Semantic join discovery, which aims to find columns in a table repository with high semantic joinabilities to a query column, is crucial for dataset discovery. Existing methods can…