2 papers
cs.DB2026
Exqutor: Extended Query Optimizer for Vector-augmented Analytical Queries
Hyunjoon Kim, Chaerim Lim, Hyeonjun An +2
Vector similarity search is becoming increasingly important for data science pipelines, particularly in Retrieval-Augmented Generation (RAG), where it enhances large language model…
cs.DC2026
DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization
Hyeonjun An, Sihyun Kim, Chaerim Lim +9
Multimodal Large Language Models (MLLMs) have achieved remarkable advances by integrating text, image, and audio understanding within a unified architecture. However, existing dist…