Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning von Han, Lifeng, Gladkoff, Serge, Erofeev, Gleb, Sorokina, Irina, Galiano, Betty, Nenadic, Goran

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Current Status of the Novel 3D SuperFGD Detector for the T2K Experiment von Dergacheva, Anna, Chernov, Denis, Chvirova, Angelina, Erofeev, Gleb, Fedorova, Daria, Fedotov, Sergei, Khabibullin, Marat, Khotjantsev, Alexei, Kudenko, Yury, Mefodiev, Alexander, Mineev, Oleg, Yershov, Nikolai

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MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs von Gladkoff, Serge, Han, Lifeng, Erofeev, Gleb, Sorokina, Irina, Nenadic, Goran

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Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning von Han, Lifeng, Erofeev, Gleb, Sorokina, Irina, Gladkoff, Serge, Nenadic, Goran

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Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know About It von Han, Lifeng, Erofeev, Gleb, Sorokina, Irina, Gladkoff, Serge, Nenadic, Goran

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Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning von Han, Lifeng, Gladkoff, Serge, Erofeev, Gleb, Sorokina, Irina, Galiano, Betty, Nenadic, Goran

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cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE von Han, Lifeng, Sorokina, Irina, Erofeev, Gleb, Gladkoff, Serge

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ACR: A Benchmark for Automatic Cohort Retrieval von Thai, Dung Ngoc, Ardulov, Victor, Mena, Jose Ulises, Tiwari, Simran, Erofeev, Gleb, Eskander, Ramy, Tarabishy, Karim, Parikh, Ravi B, Salloum, Wael

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MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs von Gladkoff, Serge, Han, Lifeng, Erofeev, Gleb, Sorokina, Irina, Nenadic, Goran

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Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning von Han, Lifeng, Erofeev, Gleb, Sorokina, Irina, Gladkoff, Serge, Nenadic, Goran

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Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know About It von Han, Lifeng, Erofeev, Gleb, Sorokina, Irina, Gladkoff, Serge, Nenadic, Goran

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Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning von Han, Lifeng, Gladkoff, Serge, Erofeev, Gleb, Sorokina, Irina, Galiano, Betty, Nenadic, Goran

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cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE von Han, Lifeng, Sorokina, Irina, Erofeev, Gleb, Gladkoff, Serge

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ACR: A Benchmark for Automatic Cohort Retrieval von Thai, Dung Ngoc, Ardulov, Victor, Jose Ulises Mena, Tiwari, Simran, Erofeev, Gleb, Eskander, Ramy, Tarabishy, Karim, Parikh, Ravi B, Salloum, Wael

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Label-free sensitive detection of influenza virus using PZT discs with a synthetic sialylglycopolymer receptor layer von Erofeev, Alexander S, Gorelkin, Petr V, Kolesov, Dmitry V, Kiselev, Gleb A, Dubrovin, Evgeniy V, Yaminsky, Igor V

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Data from: Label-free sensitive detection of influenza virus using PZT discs with a synthetic sialylglycopolymer receptor layer von Erofeev, Alexander S., Gorelkin, Petr V., Kolesov, Dmitry V., Kiselev, Gleb A., Dubrovin, Evgeniy V., Yaminsky, Igor V.

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10_6_vp_ml-2 von Erofeev, Alexander S., Gorelkin, Petr V., Kolesov, Dmitry V., Kiselev, Gleb A., Dubrovin, Evgeniy V., Yaminsky, Igor V.

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V6_106.010 von Erofeev, Alexander S., Gorelkin, Petr V., Kolesov, Dmitry V., Kiselev, Gleb A., Dubrovin, Evgeniy V., Yaminsky, Igor V.

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V6_106.009 von Erofeev, Alexander S., Gorelkin, Petr V., Kolesov, Dmitry V., Kiselev, Gleb A., Dubrovin, Evgeniy V., Yaminsky, Igor V.

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10_5_vp_ml-2 von Erofeev, Alexander S., Gorelkin, Petr V., Kolesov, Dmitry V., Kiselev, Gleb A., Dubrovin, Evgeniy V., Yaminsky, Igor V.

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