At a specific step 'i' in a text generation process, the model has calculated the following probabilities for the next token from a vocabulary of {A, B, C, D, E}:

P(A) = 0.40 P(B) = 0.30 P(C) = 0.15 P(D) = 0.10 P(E) = 0.05

If the sampling process uses a probability threshold 'p' of 0.8, which of the following sets correctly represents the candidate pool of tokens, denoted as $\overline{V}_i$?

Constructing the Top-p Candidate Pool

A language model's output probabilities for the next token are sorted in descending order. The candidate pool for sampling, represented as $\overline{V}_i = \{y_i^{\text{top1}}, \dots, y_i^{\text{topk}_p}\}$, is constructed by including all tokens whose individual probability is greater than the sampling threshold $p$.