@InProceedings{hrabal-jon-bojar:2026:wmt,
  author    = {Hrabal, Miroslav  and  Jon, Josef  and  Bojar, Ondřej},
  title     = {CUNI-MH and CUNI-EdUKate at the WMT26 General MT Shared Task},
  booktitle      = {Proceedings of the Eleventh Conference on Machine Translation},
  month          = {October},
  year           = {2026},
  address        = {Budapest, Hungary},
  publisher      = {Association for Computational Linguistics},
  pages     = {1271--1277},
  abstract  = {We describe our constrained CUNI-MH-v3 (based on Qwen3-14B) and unconstrained CUNI-EdUKate (based on Granite 4.1 8B) submissions for the WMT26 General MT shared task. Both submissions use a three-stage training procedure: QLoRA supervised fine-tuning on synthetic sentence pairs, continued supervised fine-tuning on a smaller mixture of paragraph-level and instruction-oriented examples, and iterative preference optimization with automatically generated and scored preference pairs. We document the data construction, training setup, checkpoint selection, and evaluation. We also share the training data and model checkpoints for our constrained system.},
  url       = {https://aclanthology.org/2026.wmt-1.67}
}