Egor Kostylev — accepted AI-conference papers

2024

Compositional Generalization with Grounded Language Models

Sondre Wold, Étienne Simon, Lucas Charpentier, Egor Kostylev, Erik Velldal, Lilja Øvrelid

ACL 2024findings

Grounded language models use external sources of information, such as knowledge graphs, to meet some of the general challenges associated with pre-training. By extending previous work on compositional generalization in semantic parsing, we allow for a controlled evaluation of the degree to which the…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2021

Stratified Negation in Datalog with Metric Temporal Operators

David J Tena Cucala, Przemysław A Wałęga, Bernardo Cuenca Grau, Egor Kostylev

AAAI 2021technical

We extend DatalogMTL—Datalog with operators from metric temporal logic—by adding stratified negation as failure. The new language provides additional expressive power for representing and reasoning about temporal data and knowledge in a wide range of applications. We consider models over the rationa…

Cited by 28 Source ↗PDF ↗Scholar ↗