@inproceedings{guda-etal-2025-quantifying,
    title = "Quantifying and Mitigating Selection Bias in {LLM}s: A Transferable {L}o{RA} Fine-Tuning and Efficient Majority Voting Approach",
    author = "Guda, Blessed  and
      Francis, Lawrence  and
      Ashungafac, Gabrial Zencha  and
      Joe-Wong, Carlee  and
      Busogi, Moise",
    editor = "Inui, Kentaro  and
      Sakti, Sakriani  and
      Wang, Haofen  and
      Wong, Derek F.  and
      Bhattacharyya, Pushpak  and
      Banerjee, Biplab  and
      Ekbal, Asif  and
      Chakraborty, Tanmoy  and
      Singh, Dhirendra Pratap",
    booktitle = "Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics",
    month = dec,
    year = "2025",
    address = "Mumbai, India",
    publisher = "The Asian Federation of Natural Language Processing and The Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-ijcnlp-aacl/2025.findings-ijcnlp.127/",
    pages = "2019--2038",
    ISBN = "979-8-89176-303-6"
}