generate the highest number of structurally unique scaffolds (median across datasets and setups: 6602, T = 1.75) and S4 is the close second-best model (6520, T = 1.75). While GPT obtains a suboptimal performance across the board, LSTM seems better for chemical space exploration when bioactivity is not the main objective, while S4 can better capture bioactivity and preserve a good chemical space exploration at the same time, combining the strengths of the two benchmarks with its dual structure. These results confirm the promise of S4 when it comes to generating structurally diverse and bioactive druglike molecules.