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cs.DB2026
Beyond Single-Modal Analytics: A Framework for Integrating Heterogeneous LLM-Based Query Systems for Multi-Modal Data
Ruyu Li, Tinghui Zhang, Haodi Ma +2
With the increasing use of multi-modal data, semantic query has become more and more demanded in data management systems, which is an important way to access and analyze multi-moda…
cs.DB2026
Efficient Filtered-ANN via Learning-based Query Planning
Zhuocheng Gan, Yifan Wang
Filtered ANN search is an increasingly important problem in vector retrieval, yet systems face a difficult trade-off due to the execution order: Pre-filtering (filtering first, the…
cs.DB2025
LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-modal Data
Yifan Wang, Haodi Ma, Daisy Zhe Wang
Large language model (LLM) has marked a pivotal moment in the field of machine learning and deep learning. Recently its capability for query planning has been investigated, includi…