There are plenty of fancy techniques out there already for building probabilistic neural networks. But I'm not aware of any results that combine them with large

There are plenty of fancy techniques out there already for building probabilistic neural networks. But I'm not aware of any results that combine them with large language models to develop a confidence score over an entire response. I wonder if people don't even want confidence scores when they say they want machine learning in their product: they want exact answers, and don't want to think about gray areas.