DOC: Improving Long Story Coherence With Detailed Outline Control
Kevin Yang11{}^{1}start_FLOATSUPERSCRIPT 1 end_FLOATSUPERSCRIPT Dan Klein11{}^{1}start_FLOATSUPERSCRIPT 1 end_FLOATSUPERSCRIPT Nanyun Peng22{}^{2}start_FLOATSUPERSCRIPT 2 end_FLOATSUPERSCRIPT Yuandong Tian33{}^{3}start_FLOATSUPERSCRIPT 3 end_FLOATSUPERSCRIPT 11{}^{1}start_FLOATSUPERSCRIPT 1 end_FLOATSUPERSCRIPTUC Berkeley, 22{}^{2}start_FLOATSUPERSCRIPT 2 end_FLOATSUPERSCRIPTUCLA, 33{}^{3}start_FLOATSUPERSCRIPT 3 end_FLOATSUPERSCRIPTMeta AI
Abstract
We propose the Detailed Outline Control (DOC) framework for improving long-range plot coherence when automatically generating several-thousand-word-long stories. DOC consists of two complementary components: a detailed outliner and a detailed controller. The detailed outliner creates a more detailed, hierarchically structured outline, shifting creative burden from the main drafting procedure to the planning stage. The detailed controller ensures the more detailed outline is still respected during generation by controlling story passages to align with outline details. In human evaluations of automatically generated stories, DOC substantially outperforms a strong Re ${}^{3}$ baseline Yang et al. (2022) on plot coherence (22.5% absolute gain), outline relevance (28.2%), and interestingness (20.7%). Humans also judged DOC to be much more controllable in an interactive generation setting.
原文 arXiv:2212.10077;中英对照 + 大白话阅读 https://aha.fim.ai/paper/2212.10077v3