A study by Rebecca Knowles and Cyril Goutte, presented at the 17th Conference of the Association for Machine Translation in the Americas (AMTA) in Québec City, Canada, in August 2026, found that large…
Researchers Ming Qian and Luyi Yang found that GPT5, guided by MQM-like prompts, aligned with human evaluators on 77.8% of negative flags and 88.9% of positive flags, with an F1 score of 0.875 for det…
A study presented at the 17th Conference of the Association for Machine Translation in the Americas (AMTA 2026) finds that large language models with 70B parameters or more consistently improve downst…
A study by researchers including Jeniffer Leal-Wyss, Gabriel Bernier-Colborne, Delaney Lothian, Michel Simard, and Rebecca Knowles, presented at the 17th Conference of the Association for Machine Tran…