Automatic translation metrics show lower agreement with humans on unseen technical domains than humans show with each other, and their robustness claims weaken when benchmarked against inter-annotator agreement instead of raw scores.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
cs.CL 3years
2026 3representative citing papers
A retrieval-augmented two-stage system using Qwen2.5-VL for Spanish captions and Gemini 2.5 Flash for target-language generation achieves over 120% chrF++ gains on three Indigenous languages and wins the shared task.
citing papers explorer
-
Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains
Automatic translation metrics show lower agreement with humans on unseen technical domains than humans show with each other, and their robustness claims weaken when benchmarked against inter-annotator agreement instead of raw scores.
-
Retrieval-Augmented Long-Context Translation for Cultural Image Captioning: Gators submission for AmericasNLP 2026 shared task
A retrieval-augmented two-stage system using Qwen2.5-VL for Spanish captions and Gemini 2.5 Flash for target-language generation achieves over 120% chrF++ gains on three Indigenous languages and wins the shared task.
- Hy-MT2: A Family of Fast, Efficient and Powerful Multilingual Translation Models in the Wild