It would have been nice to see if the correct answer showed up in the distribution field once in under 1000 runs. For specific information recall like this it i

It would have been nice to see if the correct answer showed up in the distribution field once in under 1000 runs. For specific information recall like this it isn’t useful if you want immediate answers… but to be given a distribution of outputs can be useful for ideation, broadening perspective, and discovery. Imagine if when we are given a compressed list of 100 options after 1000 runs, we could suppose there is a high probability 1 of them is the answer we are looking for despite rarely output. Does anyone know if there has been experiments testing these LLMs for a stable and high probability to surface the right answer after N number of tries across prompts?