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RetroMPA boosts retrosynthesis prediction accuracy by injecting chemical knowledge into existing models, achieving significant improvements without the need for retraining.
VDE can pinpoint the optimal visual layer for VLMs with remarkable accuracy, saving researchers from costly exhaustive searches.
