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

arXiv:2608.23098 · cs.AI · Submitted 2026-08-24 · Read on arXiv

cs.AI

Submitted: 2026-08-24

Updated: 2026-08-27

Comments: Accepted to the System Demonstrations Program at EMNLP 2026. Code and demo: https://github.com/jiangli-va/Jiuge-Tuiqiao

Code: https://github.com/jiangli-va/Jiuge-Tuiqiao

License: http://creativecommons.org/licenses/by/4.0/

The gist: Classical Chinese poetry composition has long valued Tuiqiao, the iterative refinement of words, imagery, and prosody.

Terminology

Iterative Refinement — 6× in this paper · explained in 3 episodes
Accuracy — 4× in this paper · explained in 1 episode
Interpretability — 4× in this paper · explained in 15 episodes
Ablation — 3× in this paper · explained in 1 episode
Provenance — 3× in this paper · explained in 3 episodes
Ablation study — 2× in this paper · explained in 1 episode
Alignment — 2× in this paper · explained in 1 episode
Core — 2× in this paper · explained in 2 episodes
Perplexity — 2× in this paper · explained in 3 episodes
Consistency — 1× in this paper · explained in 3 episodes
Evaluation Dimensions — 1× in this paper · explained in 3 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Human-in-the-Loop — 1× in this paper · explained in 3 episodes
Knowledge Base Construction — 1× in this paper · explained in 2 episodes
Lexical Diversity — 1× in this paper · explained in 2 episodes
LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes
Mode Collapse — 1× in this paper · explained in 2 episodes
Prompt Engineering — 1× in this paper · explained in 4 episodes
Reinforcement Learning — 1× in this paper · explained in 4 episodes
Structural Constraints — 1× in this paper · explained in 2 episodes
Verification — 1× in this paper · explained in 2 episodes

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.

Terminology

Abstract

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