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Abstract: In this paper, a new method based on Model-Agnostic Meta-Learning (MAML) is proposed to address the small sample problem in predicting the mechanical properties of hot rolled strip steel.

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This repository provides the official implementations and experiments for Large Concept Models (LCM). The LCM operates on an explicit higher-level semantic representation, which we name a "concept".

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