Initial human feedback reveals that AI-written novels contain interesting descriptions and concepts, but often fail in long-range coherence and prose quality, including conceptual repetition, distracting details, and weak dialogues.
CraftAlign is introduced, a framework that aligns AI stories with the craft of human storytelling by both assessing Human/AI writing patterns and providing revision guidance by both assessing Human/AI writing patterns and providing revision guidance.
Yang Yang, Boyun Xu, Shaofeng Liang et al.· 0 citations
This work presents SAGE (Skill with Attribution-Guided Evolution), a deployed framework that learns, attributes, evolves, and routes directing knowledge from expert demonstrations, and releases PROSE, the first public dataset pairing screenplays with storyboards by professional directors across 68 episodes.
Maolin Ran, Xiaoyan Lu, Jiaqi Liu et al.· 0 citations
A user study comparing two modalities for writing prompts for generative AI tasks reveals that input modality significantly influenced prompting behaviour but did not lead to measurable differences in subjective evaluations.
Nishant Rathore, Tushar Billakanti, J. Ceha et al.· International Conference on...· 0 citations
NARU, a benchmark designed to evaluate Narrative evolution and Reasoning on cultural Understanding in Japanese long-form video, is introduced, a hierarchical memory-based annotation pipeline that transforms raw video into structured event, narrative, and cultural annotations, then generates questions via task-oriented synthesis and iterative shortcut removal.
Yuheng Huang, Jianlang Chen, Jiayang Song et al.· 0 citations
Experiments across multiple long-context narrative question answering and claim verification settings show that ClueWeaver substantially improves local end-to-end language models while providing evidence coverage and paragraph-referenced reasoning traces.
Ji-Hao Zhu, Zhiwei Yang, Wenxiao Zhang et al.· 0 citations
