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20222026
most citedTranslateGemma Technical Report

2 citations · 2 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CL2026★ 2 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

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

Penalizing Length: Uncovering Systematic Bias in Quality Estimation Metrics

Yilin Zhang, Wenda Xu, Zhongtao Liu +2

Quality Estimation (QE) metrics are vital in machine translation for reference-free evaluation and increasingly serve as selection criteria in data filtering and candidate rerankin…

cs.CL2025

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.CL2025

When LLMs Benchmark Themselves: Deconstructing Self-Bias in Automated Evaluation

Wenda Xu, Sweta Agrawal, Vilém Zouhar +2

As LLMs rapidly saturate existing benchmarks, automated benchmark creation using LLMs (LLM as a benchmark) where a model generates test inputs (LLM as a testset) and evaluates outp…

cs.CL2024

CA*: Addressing Evaluation Pitfalls in Computation-Aware Latency for Simultaneous Speech Translation

Xi Xu, Wenda Xu, Siqi Ouyang +1

Simultaneous speech translation (SimulST) systems must balance translation quality with response time, making latency measurement crucial for evaluating their real-world performanc…

cs.CL2024

Translation Canvas: An Explainable Interface to Pinpoint and Analyze Translation Systems

Chinmay Dandekar, Wenda Xu, Xi Xu +2

With the rapid advancement of machine translation research, evaluation toolkits have become essential for benchmarking system progress. Tools like COMET and SacreBLEU offer single…