Automatic evaluation tools for literary translations correlate poorly with expert human judgments on creativity and exhibit bias favoring machine-translated texts.
Coling 2008, 22nd International Conference on Computational Linguistics , address=
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Small open-source LLMs achieve competitive system-level correlations with human judgments in machine translation quality estimation, outperforming traditional neural metrics and fine-tuned models via single-pass multi-output prompting.
A narrative review of AI language technologies in multilingual healthcare identifies performance gaps in safety and equity and proposes seven grand challenges centered on reliability, human oversight, and cross-disciplinary collaboration.
citing papers explorer
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Creativity Bias: How Machine Evaluation Struggles with Creativity in Literary Translations
Automatic evaluation tools for literary translations correlate poorly with expert human judgments on creativity and exhibit bias favoring machine-translated texts.
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CompactQE: Interpretable Translation Quality Estimation via Small Open-Weight LLMs
Small open-source LLMs achieve competitive system-level correlations with human judgments in machine translation quality estimation, outperforming traditional neural metrics and fine-tuned models via single-pass multi-output prompting.
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Artificial intelligence language technologies in multilingual healthcare: Grand challenges ahead
A narrative review of AI language technologies in multilingual healthcare identifies performance gaps in safety and equity and proposes seven grand challenges centered on reliability, human oversight, and cross-disciplinary collaboration.