@inproceedings{gupta-2026-lexilogic,
    title = "Lexilogic@{IWSLT} 2026: Pairwise Ranking Fine-tuning of {C}omet{K}iwi for Speech Translation Quality Estimation",
    author = "Gupta, Pranav",
    editor = "Salesky, Elizabeth  and
      Anastasopoulos, Antonios  and
      Negri, Matteo  and
      Federico, Marcello",
    booktitle = "Proceedings of the 23rd International Conference on Spoken Language Translation ({IWSLT} 2026)",
    month = jul,
    year = "2026",
    address = "San Diego, USA (in-person and online)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/bulk-corrections-2026-07-02/2026.iwslt-1.38/",
    doi = "10.18653/v1/2026.iwslt-1.38",
    pages = "332--335",
    ISBN = "979-8-89176-411-8",
    abstract = "We describe our submission to the IWSLT 2026 Speech Translation Metrics Shared Task for the ASR text to translated text evaluation scenario. We fine-tune CometKiwi-22, a 580M-parameter quality estimation model, with a pair-wise ranking objective, and construct within-document translation pairs and train with an adaptive margin ranking loss combined with mean squared error (MSE) calibration. Our system achieves 35.2{\%} per-source Kendall{'}s {\ensuremath{\tau}} on the dev (development) set."
}