Jiuge-Tuiqiao: An Interpretable Human-AI System for Classical Chinese Poetry Refinement

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.

Accepted to the System Demonstrations Program at EMNLP 2026. Code and demo: this https URL

Artificial Intelligence (cs.AI)

arXiv:2608.23098 [cs.AI]

(or arXiv:2608.23098v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2608.23098 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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