A technology company is developing a system to automatically generate one-sentence summaries of news articles. For each article, their language model generates 10 candidate summaries. To select the best one, they use a separate, more powerful language model as a verifier. This verifier is prompted with the original article and a candidate summary, and it is instructed to output only 'YES' or 'NO' to indicate if the summary is factually correct. The first summary to receive a 'YES' is selected as the final output.

Critically evaluate this verifier design. Identify at least one significant strength and two potential weaknesses or failure modes of this approach. For each weakness, propose a specific improvement to the verifier's design or the selection process.