Large Language Models are Incoherent Storytellers.


At first glance, it would seem that modern LLMs can assiduously parrot back output based on data that has previously been given to them as inputs. However they are still a long way away from coherently generating long form narratives that match defined parameters, unless they are first given a certain amount of guidance. By combining Automated Planning with Natural Language Text Generation by LLMs we can create logical, believable, and coherent stories that can be used in a wide variety of domains,for a large range of applications.

The 37th Canadian Conference on Artificial Intelligence (Canadian AI): Graduate Symposium