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Automatic Construction of Strong Simple Baselines
Not provided in the abstract
baseline constructiondeep learningautomationscientific evaluation
2610.40700
Builder Relevance
1h ago80%
Abstract
This work investigates the automation of baseline construction using large language models to improve the evaluation of deep learning methods in scientific applications.
Reality Card
Core Claim
Automated baseline construction can recover a median of 95.5% of the performance gap between trivial predictors and deep learning models, providing a scalable check on deep learning contributions.
Method / Result
The median simple baseline matches or exceeds the performance of the deep learning model in 12 studies.
Limitations
The study does not specify the authors or the exact methodology used for baseline construction, which may affect reproducibility.
Paper to code
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