[ComputerGuru]

Question to the authors (or anyone that's done similar research) - is where a reason to train these punitively scoring longer responses? Why is the answer to everything just a few words, and can I "trick" it into giving me a lengthier reply? (I tried "Give me a 200 word summary of ..." but that didn't help.)

[srush]

We fine-tuned the model on a dozens of different NLP datasets and tasks in a prompted style. You can read all the prompts in the appendix or get them all here: https://github.com/bigscience-workshop/promptsource . Most NLP tasks are not particularly freeform, or they are naturally length limited like summary (XSum is very short). As a consequence, the model mostly defaults to short responses. Your "trick" is not that unreasonable though! Many of the training prompts that want long responses, ask for them explicitly.