@article{yang2026,
title = {Rethinking Content Moderation via Severity-Aware Ranking},
author = {Ou, Yang and Zhang, Jielei and Dai, Yu and Yang, Zian and Yang, Run and Li, Xiang and Wang, Weihang and Zhao, Xueqian and Li, Peiyi and Gao, Longwen},
journal = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track},
year = {2026},
month = {Jan},
doi = {10.18653/2026.emnlp-industry.100},
url = {https://doi.org/10.18653/2026.emnlp-industry.100},
}
Ou, Yang et al. (2026). Rethinking Content Moderation via Severity-Aware Ranking. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track. https://doi.org/10.18653/2026.emnlp-industry.100
Ou, Yang, et al.. "Rethinking Content Moderation via Severity-Aware Ranking." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track, 2026, https://doi.org/10.18653/2026.emnlp-industry.100.
Ou, Yang, et al.. "Rethinking Content Moderation via Severity-Aware Ranking." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track (2026). https://doi.org/10.18653/2026.emnlp-industry.100
Ou, Yang et al., 2026. Rethinking Content Moderation via Severity-Aware Ranking. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track. Available at: <https://doi.org/10.18653/2026.emnlp-industry.100>.
TY - JOUR
TI - Rethinking Content Moderation via Severity-Aware Ranking
AU - Ou, Yang
AU - Zhang, Jielei
AU - Dai, Yu
AU - Yang, Zian
AU - Yang, Run
AU - Li, Xiang
AU - Wang, Weihang
AU - Zhao, Xueqian
AU - Li, Peiyi
AU - Gao, Longwen
PY - 2026
JO - Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track
DO - 10.18653/2026.emnlp-industry.100
UR - https://doi.org/10.18653/2026.emnlp-industry.100
ER -