シーケンスベースの化合物設計におけるトランスフォーマー学習は、化合物記憶とシーケンス・化合物ペアの類似性に依存する
1Department of Life Science Informatics, Bonn-Aachen International Center for Information Technology, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
分子設計における化学言語モデル(CLM)は、化学的学習ではなく記憶に依存する。この限界を理解することは、トランスフォーマーベースのCLMの正確な解釈と適用にとって重要である。
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