I thought this was interesting that I noticed some biased outputs from lab 1. In the one-shot generated output from the lab, the model assumes that the people talking are male! How it definitely decided this is quite interesting.
MODEL GENERATION - ONE SHOT:
#Person1 wants to upgrade his system. #Person2 wants to add a painting program to his software. #Person1 wants to add a CD-ROM drive.
It was more pronounced when summarising example 99, where it assumed it’s two men but that isn’t implied by anything in the source text
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BASELINE HUMAN SUMMARY:
#Person1# and Mike are discussing what kind of emotion should be expressed by Mike in this play. They have different understandings.
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MODEL GENERATION - FEW SHOT:
The two men are trying to figure out how to react to the situation.