1 citations · 1 across the 2 of their papers we have counts for
3 papers
Using Small Language Models to Reverse-Engineer Machine Learning Pipelines Structures
Nicolas Lacroix, Frederic Precioso, Mireille Blay-Fornarino +1
Context: Once defined a taxonomy of stages structuring Machine Learning (ML) pipelines (e.g. Data Preprocessing, Modeling...), extracting these stages from source code is key for b…
Using Small Language Models to Reverse-Engineer Machine Learning Pipelines Structures
Nicolas Lacroix, Mireille Blay-Fornarino, Sébastien Mosser +1
Background: Extracting the stages that structure Machine Learning (ML) pipelines from source code is key for gaining a deeper understanding of data science practices. However, the…
Report on the First Workshop On the Globalization of Modeling Languages
Benoit Combemale, Julien De Antoni, Robert B. France +6
The first edition of GEMOC workshop was co-located with the MODELS 2013 conference in Miami, FL, USA. The workshop provided an open forum for sharing experiences, problems and solu…