Problem
Research questions and friction points this paper is trying to address.
AI poetry systems
user engagement
creativity
Jiuge-Tuiqiao: An Interpretable Human-AI System for Classical Chinese Poetry Refinement
🤖 AI Summary
为解决AI诗歌系统削弱用户创作主动性的缺点，通过用户驱动、古文引导和AI辅助的三元模型，提升古典诗词创作中的可控性、可解释性和用户参与度。
📝 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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
user-driven control
ancient-guided evidence
AI-assisted generation
interpretable refinement suggestions
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