% We used the following infrastructure(s) for running our models:

% -  ... execution time ...

% For the section content summarization approach,
In terms of infrastructure, we use a system with 16 GB RAM and an NVIDIA GTX 1060 MQ GPU with 6 GB VRAM. Out of the 5500 examples on the test set, this method only requires generating summaries for 251 examples comprising different CTR sections. On the development set, we need to create 100 summaries for the 200 samples, making the summarization step more expensive in this regard.

The inference time for a summary varies with the length of the CTR section, with a minimum time of 30 seconds per sample and a total time of about 7 hours, but it should be noted that this stage is a one-time cost.
The inference time for one example is approximately 5 seconds, meaning that the evaluation on the test set takes roughly 9 hours, with the total time reaching 12 hours when applying 2-shot prompting, since the sequence length increases.
