4 papers · 1 filter
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…
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…
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…
Xling: A Learned Filter Framework for Accelerating High-Dimensional Approximate Similarity Join
Yifan Wang, Vyom Pathak, Daisy Zhe Wang
Similarity join finds all pairs of close points within a given distance threshold. Many similarity join methods have been proposed, but they are usually not efficient on high-dimen…