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Wordcraft: a Human-AI Collaborative Editor for Story Writing

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arxiv 2107.07430 v1 pith:YGJHNQTD submitted 2021-07-15 cs.CL

Wordcraft: a Human-AI Collaborative Editor for Story Writing

classification cs.CL
keywords editorstorylanguagemodelsnovelsupporttheywordcraft
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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As neural language models grow in effectiveness, they are increasingly being applied in real-world settings. However these applications tend to be limited in the modes of interaction they support. In this extended abstract, we propose Wordcraft, an AI-assisted editor for story writing in which a writer and a dialog system collaborate to write a story. Our novel interface uses few-shot learning and the natural affordances of conversation to support a variety of interactions. Our editor provides a sandbox for writers to probe the boundaries of transformer-based language models and paves the way for future human-in-the-loop training pipelines and novel evaluation methods.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Emergent Abilities of Large Language Models

    cs.CL 2022-06 unverdicted novelty 6.0

    Emergent abilities are capabilities present in large language models but absent in smaller ones and cannot be predicted by extrapolating smaller model performance.

  2. Characterizing initial human-AI proof formalization workflows

    cs.AI 2026-06 unverdicted novelty 5.0

    A controlled user study and qualitative survey find that AI assistance raises formalization accuracy for math proofs, with users flexibly combining multiple tools while retaining oversight.