What is Wrong with Language Models that Can Not Tell a Story?
This addresses a foundational problem for AI researchers and developers, but it is incremental as it critiques existing gaps without proposing new solutions.
The paper argues that the inability of language models to generate coherent narratives is a critical bottleneck in NLP and AI, highlighting the lack of datasets, evaluation methods, and concepts for narrative processing.
This paper argues that a deeper understanding of narrative and the successful generation of longer subjectively interesting texts is a vital bottleneck that hinders the progress in modern Natural Language Processing (NLP) and may even be in the whole field of Artificial Intelligence. We demonstrate that there are no adequate datasets, evaluation methods, and even operational concepts that could be used to start working on narrative processing.