A forecasting-based metric called 100-Endings quantifies story tension via prediction mismatches, correctly ranks human stories above AI ones, and supports a structural pipeline for higher-tension LLM story generation.
This measures whether the story remains unpredictable as it approaches its ending, or whether the conclusion becomes obvious once most of the narrative has been read
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Spoiler Alert: Narrative Forecasting as a Metric for Tension in LLM Storytelling
A forecasting-based metric called 100-Endings quantifies story tension via prediction mismatches, correctly ranks human stories above AI ones, and supports a structural pipeline for higher-tension LLM story generation.