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From the 1 of 11 linked papers with an AI index.

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20242026
most citedTranslateGemma Technical Report

2 citations · 2 across the 4 of their papers we have counts for

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cs.CL2026

Contrastive ESA: Human Evaluation of Multiple Translations at Once

Vilém Zouhar, Roman Grundkiewicz, Sara Rajaee +6

The paper proposes Contrastive Error Span Annotation (cESA), a human evaluation protocol that shows multiple translations of the same source together, lets annotators mark error sp…

cs.CL2026

Searching the Internet for Challenging Benchmarks at Scale

Wenda Xu, Vilém Zouhar, Parker Riley +3

Many static benchmarks are beginning to saturate: as models rapidly improve, they achieve near-perfect scores on fixed test sets, leaving little headroom to expose genuine model we…

cs.CL20262 cited

TranslateGemma Technical Report

Mara Finkelstein, Isaac Caswell, Tobias Domhan +18

We present TranslateGemma, a suite of open machine translation models based on the Gemma 3 foundation models. To enhance the inherent multilingual capabilities of Gemma 3 for the t…

cs.CL2025

MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation

Parker Riley, Daniel Deutsch, Mara Finkelstein +3

Human evaluation of machine translation is in an arms race with translation model quality: as our models get better, our evaluation methods need to be improved to ensure that quali…

cs.CL2025

Generating Difficult-to-Translate Texts

Vilém Zouhar, Wenda Xu, Parker Riley +4

Machine translation benchmarks sourced from the real world are quickly obsoleted, due to most examples being easy for state-of-the-art translation models. This limits the benchmark…

cs.CL2025

Preliminary Ranking of WMT25 General Machine Translation Systems

Tom Kocmi, Eleftherios Avramidis, Rachel Bawden +25

We present the preliminary rankings of machine translation (MT) systems submitted to the WMT25 General Machine Translation Shared Task, as determined by automatic evaluation metric…