Themisto: Jupyter-Based Runtime Benchmark
April 16, 2025 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Konstantin Grotov, Sergey Titov
arXiv ID
2504.12365
Category
cs.SE: Software Engineering
Cross-listed
cs.AI,
cs.LG
Citations
1
Venue
arXiv.org
Last Checked
5 months ago
Abstract
In this work, we present a benchmark that consists of Jupyter notebooks development trajectories and allows measuring how large language models (LLMs) can leverage runtime information for predicting code output and code generation. We demonstrate that the current generation of LLMs performs poorly on these tasks and argue that there exists a significantly understudied domain in the development of code-based models, which involves incorporating the runtime context.
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