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

@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},
  doi = {10.18653/2026.emnlp-demos.5},
  url = {https://doi.org/10.18653/2026.emnlp-demos.5},
}

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. https://doi.org/10.18653/2026.emnlp-demos.5

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, https://doi.org/10.18653/2026.emnlp-demos.5.

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). https://doi.org/10.18653/2026.emnlp-demos.5

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. Available at: <https://doi.org/10.18653/2026.emnlp-demos.5>.

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
DO  - 10.18653/2026.emnlp-demos.5
UR  - https://doi.org/10.18653/2026.emnlp-demos.5
ER  -