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

arXiv: https://arxiv.org/abs/2608.23098 · HTML: https://mlsanity.com/paper/2608.23098/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 11 references that are in the map.
- First posted on arXiv 24 Aug 2026.

## Builds on (most cited first, 5 of 5)

- [CharPoet: A Chinese Classical Poetry Generation System Based on Token-free LLM](https://mlsanity.com/paper/2401.03512/) (2024)
- [Generating Major Types of Chinese Classical Poetry in a Uniformed Framework](https://mlsanity.com/paper/2003.11528/) (2020)
- [Once Upon a Time: Interactive Learning for Storytelling with Small Language Models](https://mlsanity.com/paper/2509.15714/) (2025)
- [Chinese Poetry Generation with a Salient-Clue Mechanism](https://mlsanity.com/paper/1809.04313/) (2018)
- [System Report for CCL25-Eval Task 5: New Dataset and LoRA-Fine-Tuned Qwen2.5](https://mlsanity.com/paper/2606.12392/) (2026)

## Abstract (arXiv)

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.