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20242026
most citedRoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search

16 citations · 17 across the 4 of their papers we have counts for

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8 papers · 1 filter

cs.DB2026

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…

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.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.DB20251 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…

cs.DB20246 cited

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…