Such a terrible idea to replace a bad metric with a potentially worse one. Based on assumptions that every field treats author order in the same way + every order means same thing. Metrification made worse :( + discouraging collaborations.

We didn't, in fact, this research started with our previous project, trying to break AI detectors with Pangram being the only one not failing. Since then, we have experimented with it, and it does an extremely good job.
(Some plots in the paper show it well, like fig8 with historical data)

Probably for the best, they had serious overflows because of this...

Wasn't this what ACL did this year?

I feel like it was worth waking up early

Wait how come, I'm flying direct at 7am..

Definitely!

At the same time I wish that whoever sparked this interest in data distribution would also help them with the design...

Absolutely! Looking forward to seeing QUDsim at COLM!