2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.DB2026
BoomHQ: Learning to Boost Multiple Hybrid Queries on Vector DBMSs
Ermu Qiu, Tianyi Chen, Jun Gao +4
Hybrid queries, which combine vector nearest neighbor searches with scalar predicates, represent a fundamental challenge in managing vector databases. Existing methods often restri…
cs.DB2025
LLM4Hint: Leveraging Large Language Models for Hint Recommendation in Offline Query Optimization
Suchen Liu, Jun Gao, Yinjun Han +1
Query optimization is essential for efficient SQL query execution in DBMS, and remains attractive over time due to the growth of data volumes and advances in hardware. Existing tra…
cs.LG2024★ 2 cited
RazorAttention: Efficient KV Cache Compression Through Retrieval Heads
Hanlin Tang, Yang Lin, Jing Lin +4
The memory and computational demands of Key-Value (KV) cache present significant challenges for deploying long-context language models. Previous approaches attempt to mitigate this…