We set the number of original instruction templates for each task to three. This decision is rooted in the precise require-
ments of the three tasks in Oogiri-GO, which is that we aim for LLMs to generate unexpected and humorous content based
on given images or texts. Consequently, a large number of prompts is unnecessary for robust generalization across these
tasks and our experiments support this observation. In the Image to Text task, we compare the effects of using three and fifty
prompt templates and the fifty prompt templates are obtained by rewriting the original three templates using Qwen-14B [5].
The experimental results demonstrate that the number of prompt templates does not significantly impact the performance of
LLMs.
Instruction Templates of Text to Text.
and can also be categorized into the following four types:

Instruction templates for Text to Text are very similar to those for Image to Text,
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