This could significantly reduce chemically implausible hallucinations but might limit the model's confidence in predicting novel structures. To identify challenging areas, we can implement an adaptive sampling strategy that focuses on areas of high uncertainty in the generation space. These trade-offs highlight the delicate balance between improving accuracy, maintaining computational efficiency, and preserving the ability to predict novel structures.