One potential benefit of incorporating LLM feedback in this meta-task is their capacity to complement human expertise by offering a different perspective. Unlike human experts, who may be constrained by a finite set of known molecular generation rules, LLMs can leverage their extensive training on diverse datasets to propose innovative approaches and solutions. This capability enables them to identify potential design and modification opportunities that might not be immediately evident to human experts. Furthermore, LLMs might facilitate the exploration of the full spectrum of chemistry design rules (based on the very large corpus of documents seen in their training), a task that could require the combined efforts of multiple experts.