1. I feel that paper has insufficiant baseline. For example, CoCoOp (https://arxiv.org/abs/2203.05557) is a widely used baseline for prompt tuning research in CLIP. Moreover, it would be nice to include the natural data shift setting as in most other prompt tuning papers for CLIP.
2. It would be nice to include the hard prompt baseline in Table 1 to see the increase in performance of each method.
3. I think the performance drop seen with respect to the prompt length (Figure 4) is a major limitation of this approach. For example, this phenomenon might make it so that using just a general hard prompt of length 4 ('a photo of a') would outperform the CBBT with length 4 or even CBBT with length 1.
2. It would be nice to include the hard prompt baseline in Table 1 to see the increase in performance of each method.