3 papers
cs.LG2025
Ilargi: a GPU Compatible Factorized ML Model Training Framework
Wenbo Sun, Rihan Hai
The machine learning (ML) training over disparate data sources traditionally involves materialization, which can impose substantial time and space overhead due to data movement and…
cs.DB2025
TranSQL+: Serving Large Language Models with SQL on Low-Resource Hardware
Wenbo Sun, Qiming Guo, Wenlu Wang +1
Deploying Large Language Models (LLMs) on resource-constrained devices remains challenging due to limited memory, lack of GPUs, and the complexity of existing runtimes. In this pap…
cs.IR2024
LLM-PQA: LLM-enhanced Prediction Query Answering
Ziyu Li, Wenjie Zhao, Asterios Katsifodimos +1
The advent of Large Language Models (LLMs) provides an opportunity to change the way queries are processed, moving beyond the constraints of conventional SQL-based database systems…