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languages and to propose new methods inspired by the recent advances in Large Language Models (LLMs) for these tasks. Our approach aims to 1) build and collect a corpus of lexical complexity assessments by
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decision analysis and risk management in energy finance. These features include probabilistic models, which estimate the full conditional distribution of energy derivative prices and other targets
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