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cs.LG2025
Optimizing the Training Diet: Data Mixture Search for Robust Time Series Forecasting
Federico Pennino, Maurizio Gabbrielli
The standard paradigm for training deep learning models on sensor data assumes that more data is always better. However, raw sensor streams are often imbalanced and contain signifi…
cs.LG2025
From Reasoning to Code: GRPO Optimization for Underrepresented Languages
Federico Pennino, Bianca Raimondi, Massimo Rondelli +2
Generating accurate and executable code using Large Language Models (LLMs) remains a significant challenge for underrepresented programming languages, such as Prolog and Lisp, due…