Jiuge-Tuiqiao: An Interpretable Human-AI System for Classical Chinese Poetry Refinement
2026-08-24 • Artificial Intelligence
Artificial Intelligence
AI summaryⓘ
The authors created Jiuge-Tuiqiao, a system that helps people write classical Chinese poetry by working together with AI. Instead of the AI writing poems in one go, this system lets users control parts of the poem, get instant feedback, and see AI suggestions based on old texts and patterns. The AI acts more like an assistant that supports the user's creative process rather than doing all the work. Their tests showed users felt more control, understood the process better, and stayed more engaged.
classical Chinese poetryTuiqiaohuman-AI collaborationprosody feedbackpoetry compositioninteractive AIinterpretabilitypoetry refinementcollocationslanguage modeling
Authors
Yufeng Han, Lifan Deng, Cunliang Kong, Wenhao Li, Xin Cong, Yuzhuo Bai, Kangyang Luo, Maosong Sun
Abstract
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.