让AI当助手，帮人逐字打磨古诗，提升创作掌控感。
Jiuge-Tuiqiao: An Interpretable Human-AI System for Classical Chinese Poetry Refinement
- 用户可锁定字句，AI实时提供押韵反馈与可解释优化建议。
- 基于高频词搭配和经典诗句排名，生成有依据的修改方案。
- 适合想深度参与古诗创作的学者、爱好者，提升创作沉浸感。
古典汉语诗歌创作历来重视'推敲'，即对用词、意象与音律的反复打磨。然而，多数现有AI诗歌系统采用一次性生成模式，使用户沦为提示提供者，削弱了其创作主动性。本文提出Jiuge-Tuiqiao，一种面向古典汉语诗歌创作的交互式人机协同系统。系统围绕三元模型构建：用户主导控制、古代文本提供证据支持、AI辅助生成。用户可锁定字符或诗句，获得实时音律反馈，并接收基于高频搭配、PPL排序的经典诗句及从古典百科中提取的结构化知识所支撑的可解释优化建议。该设计将AI由自主生成者转变为背景协作者，支持用户自身的推敲过程。初步实验与用户反馈表明，Jiuge-Tuiqiao显著提升了可控性、可解释性与用户参与度。
原文摘要 · Abstract (English)
Classical Chinese poetry composition has long valued Tuiqiao, the iterative refinement of words, imagery, and prosody. However, many current AI poetry systems follow a one-shot generation paradigm, which reduces users to prompt providers and weakens their creative agency. We present Jiuge-Tuiqiao, an interactive human-AI collaborative system for classical Chinese poetry composition. The system is designed around a triadic model: user-driven control, ancient-guided evidence, and AI-assisted generation. Users can lock characters or lines, receive real-time prosody feedback, and obtain interpretable refinement suggestions grounded in high-frequency collocations, PPL-ranked classical lines, and structured knowledge extracted from classical encyclopedias. This design turns AI from an autonomous generator into a background assistant that supports the user's own process of poetic refinement. Preliminary experiments and user feedback suggest that Jiuge-Tuiqiao improves controllability, interpretability, and user engagement in classical poetry composition.
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