70 citations · 111 across the 13 of their papers we have counts for
4 papers · 1 filter
ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning
Junxiong Wang, Immanuel Trummer, Ahmet Kara +1
The performance of worst-case optimal join algorithms depends on the order in which the join attributes are processed. Selecting good orders before query execution is hard, due to…
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning
Kaiwen Wang, Junxiong Wang, Yueying Li +3
Join order selection (JOS) is the problem of ordering join operations to minimize total query execution cost and it is the core NP-hard combinatorial optimization problem of query…
From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management
Immanuel Trummer
Large language models have recently advanced the state of the art on many natural language processing benchmarks. The newest generation of models can be applied to a variety of tas…
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes
Simran Arora, Brandon Yang, Sabri Eyuboglu +4
A long standing goal of the data management community is to develop general, automated systems that ingest semi-structured documents and output queryable tables without human effor…