@article{yufeng2026,
title = {Jiuge-Tuiqiao: An Interpretable Human-AI System for Classical Chinese Poetry Refinement},
author = {Han, Yufeng and Deng, Lifan and Kong, Cunliang and Li, Wenhao and Cong, Xin and Bai, Yuzhuo and Luo, Kangyang and Sun, Maosong},
journal = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
year = {2026},
month = {Jan},
}
Han, Yufeng et al. (2026). Jiuge-Tuiqiao: An Interpretable Human-AI System for Classical Chinese Poetry Refinement. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: System Demonstrations.
Han, Yufeng, et al.. "Jiuge-Tuiqiao: An Interpretable Human-AI System for Classical Chinese Poetry Refinement." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2026.
Han, Yufeng, et al.. "Jiuge-Tuiqiao: An Interpretable Human-AI System for Classical Chinese Poetry Refinement." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (2026).
Han, Yufeng et al., 2026. Jiuge-Tuiqiao: An Interpretable Human-AI System for Classical Chinese Poetry Refinement. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: System Demonstrations.
TY - JOUR
TI - Jiuge-Tuiqiao: An Interpretable Human-AI System for Classical Chinese Poetry Refinement
AU - Han, Yufeng
AU - Deng, Lifan
AU - Kong, Cunliang
AU - Li, Wenhao
AU - Cong, Xin
AU - Bai, Yuzhuo
AU - Luo, Kangyang
AU - Sun, Maosong
PY - 2026
JO - Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
ER -