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20242026
most citedMetasql: A Generate-then-Rank Framework for Natural Language to SQL Translation

20 citations · 49 across the 10 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.DB2025

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…

cs.DC2025

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…

cs.DB2025

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…

cs.DB2025

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…

cs.LG2025★ 3 cited

HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks

Xuqi Mao, Zhenyi Chen, Zhenying He +3

Numerous real-world information networks form Heterogeneous Information Networks (HINs) with diverse objects and relations represented as nodes and edges in heterogeneous graphs. S…

cs.DB2025★ 1 cited

CHASE: A Native Relational Database for Hybrid Queries on Structured and Unstructured Data

Rui Ma, Kai Zhang, Zhenying He +3

Querying both structured and unstructured data has become a new paradigm in data analytics and recommendation. With unstructured data, such as text and videos, are converted to hig…