162 citations · 403 across the 28 of their papers we have counts for
35 papers
High-Throughput LLM-Based Compression and What It Takes: A Systems Study of Inference Engines and Entropy Coding Optimizations
David Adams, Luisa Neubauer, Ping-Lin Kuo +5
Large language models are attractive text compressors because next-token probabilities can be converted into code lengths. In practice, however, the main bottleneck is often not mo…
The Case for Synthesized Data Compression
Ivan Iachnyk, Mihail Stoian, Luisa Neubauer +2
Compression is a fundamental tool in data management. Today's compression schemes are generally designed by hand to apply to many different types of data (e.g., run length encoding…
OptFSST: Optimized FSST String Compression
Hedi Chehaidar, Mihail Stoian, Moritz Stargalla +1
Strings account for a substantial fraction of data in modern analytical systems, making lightweight compression with fast random access an important building block for efficient qu…
IDSTune: A Multi-Agent Collaborative Framework for Integrated Database System Tuning
Yiyan Li, Guanli Liu, Renata Borovica-Gajic +6
Database tuning is critical for achieving high performance in modern database management systems (DBMSs). Existing methods typically optimize a single component---knobs, indexes, o…
Hollywood: Towards a Large Movie Dataset for Database Benchmarking
Ivan Iachnyk, Mihail Stoian, Andreas Kipf
The IMDb real-world dataset of the JOB benchmark has been extensively used in the last decade as part of the research line on cardinality estimation, given its ability to stress te…
SemCEB: A Cardinality Estimation Benchmark for Semantic Operators
Andreas Zimmerer, Claudius Kühn, Yang Li +3
Modern data systems increasingly expose multi-modal large language models as semantic operators: SQL operators, including filters and joins, whose predicates are defined by a natur…