@InProceedings{dobrowolski-EtAl:2026:wmt,
  author    = {Dobrowolski, Adam  and  Przybysz, Paweł  and  Szymański, Marcin  and  Przewłocki, Paweł  and  Janicki, Artur},
  title     = {Relay-MT: Multi-agent LLM Ensembling for Machine Translation – Samsung R\&D Poland Submission for WMT2026},
  booktitle      = {Proceedings of the Eleventh Conference on Machine Translation},
  month          = {October},
  year           = {2026},
  address        = {Budapest, Hungary},
  publisher      = {Association for Computational Linguistics},
  pages     = {1242--1254},
  abstract  = {We propose a method to improve machine translation quality by ensembling multiple large language models within a multi-agent framework. The method addresses the problem of ensembling models with different tokenizations by abstracting away from token-level representations and operating at the level of generated text. The approach integrates several established concepts in MT, including ensembling, quality estimation, and reranking into one translation system. The log-likelihood reranking applied in this paper significantly improves results, even without ensembling. Experimental results show improvements comparable to COMET-MBR.},
  url       = {https://aclanthology.org/2026.wmt-1.64}
}