8 papers
HARP: Orchestrating Automated Parallel Training on Heterogeneous GPU Clusters
Antian Liang, Zhigang Zhao, Kai Zhang +6
With the rapid evolution of GPU architectures, the heterogeneity of model training infrastructures is steadily increasing. In such environments, effectively utilizing all available…
UTune: Towards Uncertainty-Aware Online Index Tuning
Chenning Wu, Sifan Chen, Wentao Wu +4
There have been a flurry of recent proposals on learned benefit estimators for index tuning. Although these learned estimators show promising improvement over what-if query optimiz…
ORANGE: An Online Reflection ANd GEneration framework with Domain Knowledge for Text-to-SQL
Yiwen Jiao, Tonghui Ren, Yuche Gao +4
Large Language Models (LLMs) have demonstrated remarkable progress in translating natural language to SQL, but a significant semantic gap persists between their general knowledge a…
MLego: Interactive and Scalable Topic Exploration Through Model Reuse
Fei Ye, Jiapan Liu, Yinan Jing +3
With massive texts on social media, users and analysts often rely on topic modeling techniques to quickly extract key themes and gain insights. Traditional topic modeling technique…
Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data
Yanjun Lin, Kai Zhang, Zhenying He +2
Filtered approximate nearest neighbor search (FANNS), an extension of approximate nearest neighbor search (ANNS) that incorporates scalar filters, has been widely applied to constr…
Grounding Natural Language to SQL Translation with Data-Based Self-Explanations
Yuankai Fan, Tonghui Ren, Can Huang +2
Natural Language Interfaces for Databases empower non-technical users to interact with data using natural language (NL). Advanced approaches, utilizing either neural sequence-to-se…