2026
FiRE: Fine-grained Ranking Evaluation for Machine Translation
ICML 2026poster
Developing reliable machine translation (MT) systems hinges on our ability to distinguish superior translations from inferior ones. However, existing evaluation paradigms, whether limited to coarse overall rankings or misaligned with human preferences, fail to deliver interpretable, fine‑grained fee…