Selectivity Estimation for Semantic Filters on Image Data
Matthias Urban, Vu Huy Nguyen, Gabriele Sanmartino, Paolo Papotti, Carsten Binnig
https://t.co/1LfqRrYyd4 [ππ.π³π±]
MLSkip: Data Skipping for ML Filters via Lightweight Metadata
Mihail Stoian, Mark Gerarts, Pascal Ginter, Andreas Zimmerer, Jan Van den Bussche, Andreas Kipf
https://t.co/eYDcJ4Lm0f [ππ.π³π± ππ.π»πΆ ππ.π»πΎ]
Formalizing all indexed mathematics as a benchmark for general reasoning, with the example of implementing dilatations of categories
A. Mayeux
https://t.co/P5lG6XBB6o [ππ.π³π± ππ.π·π² ππππ.π²π]
A Community Survey on SHACL and ShEx: Briding Gaps in RDF Validation
Maxime Jakubowski, Dominik Tomaszuk, Katja Hose
https://t.co/8s1s8I7yZJ [ππ.π³π±]
π¬Presented at SEMANTiCS 2025
HRNN: A Hybrid Graph Index for Approximate Reverse k-Nearest Neighbor Search on High-Dimensional Vectors
Wenxuan Xia, Mingyu Yang, Wentao Li, Wei Wang
https://t.co/ZmHOmhwQvU [ππ.π³π± ππ.π³π]
Less Is More? When Dataset Context Hurts LLM-Generated Dataset Descriptions
Lisa-Yao Gan, Arunav Das, Johanna Walker, Klaus Diepold, Elena Simperl
https://t.co/ZqFNg86iyk [ππ.π³π±]
π¬Accepted to ICDE26 KDExLLM Workshop
Real-world and simulated thermal data from 960 residential multi-zone buildings in Central Europe
Fabian Raisch, Matthias Kersken, Markus Male, Benjamin Tischler
https://t.co/fBbym77wtx [ππ.π³π±]
Can we trust LLM Self-Explanations for Entity Resolution?
Tommaso Teofili, Donatella Firmani, Nick Koudas, Paolo Merialdo, Divesh Srivastava
https://t.co/I7SwHZclrw [ππ.π³π±]
SCOPE: Cost-Efficient Model Selection for Compound AI Systems under Quality Constraints
Yiqian Huang, Shiqi Zhang, Tianyuan Jin, Xiaokui Xiao
https://t.co/zKxVor0qkL [ππ.π³π±]
π¬Accepted at KDD 2026
EMA: Approximate Nearest Neighbor Search with General Attribute Filtering and Dynamic Updates
Mocheng Li, Baotong Lu, James Cheng, Chenhao Ma
https://t.co/Y2QYe6AxtG [ππ.π³π±]
π¬Submitted to PVLDB Research Track
A Theoretical Study of DBLog: Certified Virtual Cuts for a Snapshot-Equivalent Replay of Live Databases
Andreas Andreakis
https://t.co/zAaQ3i6yBC [ππ.π³π±]