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Scaling Long-Form Story Generation via Narrative State Tracking

Paper recorded by Signals 4 on 2026-09-28 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-28 on arXiv · recorded by Signals 4 on 2026-09-29

Category: cs.CL · 自然语言处理 · first seen 2026-09-29

Abstract

LLMs have demonstrated strong capabilities in creative writing. However, scaling them to full-length novels remains challenging, as maintaining narrative consistency becomes increasingly difficult. Existing story-generation methods typically focus on stories of up to about ten thousand words, leaving their ability to scale to full-length novels underexplored. In this work, we introduce Narrative S

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#2 most recent of 279 cs.CL papers we have recorded · ↑ newer: Retrieving Biblical Intertextual References in Karen Blixen's Seven Go · ↓ older: Towards Communication-Efficient Social Intelligence in Language Agents
Cite this page: Scaling Long-Form Story Generation via Narrative State Tracking: the #2 most recent of 279 cs.CL papers we have recorded (as of 2026-09-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/scaling-long-form-story-generation-via-narrative-state-tracking.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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