@article{li2026,
title = {Personalized News Headline Generation via Multi-Agent User Simulation},
author = {Kang, Li and Zhao, Yuhan and Chen, Li},
journal = {Findings of the Association for Computational Linguistics: EMNLP 2026},
year = {2026},
month = {Jan},
doi = {10.18653/2026.findings-emnlp.2016},
url = {https://doi.org/10.18653/2026.findings-emnlp.2016},
}
Kang, Li et al. (2026). Personalized News Headline Generation via Multi-Agent User Simulation. Findings of the Association for Computational Linguistics: EMNLP 2026. https://doi.org/10.18653/2026.findings-emnlp.2016
Kang, Li, et al.. "Personalized News Headline Generation via Multi-Agent User Simulation." Findings of the Association for Computational Linguistics: EMNLP 2026, 2026, https://doi.org/10.18653/2026.findings-emnlp.2016.
Kang, Li, et al.. "Personalized News Headline Generation via Multi-Agent User Simulation." Findings of the Association for Computational Linguistics: EMNLP 2026 (2026). https://doi.org/10.18653/2026.findings-emnlp.2016
Kang, Li et al., 2026. Personalized News Headline Generation via Multi-Agent User Simulation. Findings of the Association for Computational Linguistics: EMNLP 2026. Available at: <https://doi.org/10.18653/2026.findings-emnlp.2016>.
TY - JOUR
TI - Personalized News Headline Generation via Multi-Agent User Simulation
AU - Kang, Li
AU - Zhao, Yuhan
AU - Chen, Li
PY - 2026
JO - Findings of the Association for Computational Linguistics: EMNLP 2026
DO - 10.18653/2026.findings-emnlp.2016
UR - https://doi.org/10.18653/2026.findings-emnlp.2016
ER -