Computational chemistry techniques, particularly Kohn-Sham Density Functional Theory (DFT) approaches, also called density functional approximations (DFAs), are frequently used in applications of technological relevance, including the description of exciplexes and excimers. In order to have predictive character, DFAs must be robust; i.e., they must yield results with equal accuracy or error margins across a variety of different chemical problems. Comprehensive benchmark studies have identified such generally applicable DFT approaches for ground-state problems including for thermochemistry, kinetics, and geometries, to name a few examples. In all studies, it was evident that the accurate treatment of noncovalent interactions (NCIs), in both inter-and intramolecular cases, is crucial to achieve the desired accuracy and robustness of a method. In the context of DFT, it is particularly important to properly address the correct treatment of London dispersion effects. It has been known since the mid-1990s that conventional DFAs do not capture those effects correctly. This sparked the development of various dispersioncorrected DFT techniques, some of which later turned out to be less effective than initially claimed, and others having now become the recommended default for ground-state DFT applications. We refer interested readers to recently published reviews directed at users that are unfamiliar with the field of dispersion-corrected DFT applications for ground-state problems as well as reviews that recommend the currently best practice in the field, which includes dispersion-corrected doublehybrid DFAs (DHDFAs) when feasible.