Figure 1
Illustration of (a) fine-tuning, (b) hard prompt and (c) soft prompt for sentiment classification where the pre-trained language model is utilized. The tunable parameters are shown by yellow while the frozen parameters are shown by blue. Outputs of these methods could be either class labels or word tokens (shown by green) via verbalizer. Refer to the image caption for details.

Illustration of (a) fine-tuning, (b) hard prompt and (c) soft prompt for sentiment classification where the pre-trained language model is utilized. The tunable parameters are shown by yellow while the frozen parameters are shown by blue. Outputs of these methods could be either class labels or word tokens (shown by green) via verbalizer.

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