@inproceedings{s-etal-2026-lannisters,
    title = "Lannisters@{D}ravidian{L}ang{T}ech 2026: A Comparative and Ablation Study of Multilingual Transformers for Gender-Targeted Abuse Detection in {T}amil Social Media Platforms",
    author = "S, Kalaivani K  and
      K, Jaisanth  and
      B, Nandhini",
    editor = "Chakravarthi, Bharathi Raja  and
      Priyadharshini, Ruba  and
      Madasamy, Anand Kumar  and
      Thavareesan, Sajeetha  and
      Rajiakodi, Saranya  and
      Navaneethakrishnan, Subalalitha  and
      Chinnappa, Dhivya  and
      Palani, Balasubramanian  and
      Subramanian, Malliga  and
      Shanmugavadivel, Kogilavani  and
      Rajalakshmi, Ratnavel",
    booktitle = "Proceedings of the Sixth Workshop on Speech, Vision, and Language Technologies for {D}ravidian Languages",
    month = jul,
    year = "2026",
    address = "Underline (Virtual)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.dravidianlangtech-1.44/",
    pages = "289--293",
    ISBN = "979-8-89176-401-9",
    abstract = "The prevalence of the use of the Tamil lan- guage on social media has heightened the need to address the issue of online harassment of women. As a result, there is a heightened need to develop a system to automatically iden- tify abusive content in the Tamil language to promote a safe online communication plat- form. This paper presents a model to iden- tify abusive content using a binary classifi- cation model to identify Abusive and Non- Abusive content. In this work, we experi- mented with several multilingual transformer models including DistilBERT, mBERT, and XLM-RoBERTa. From the experiments, it was observed that the XLM-RoBERTa model performed better than the others, achieving an accuracy of 91.17{\%} and a macro F1 score of 0.8865. In this paper, ablation experiments are conducted to show that structured preprocess- ing, balancing the minority class, and tuning the hyperparameters contribute to the model{'}s performance"
}