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Ke Tran
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Ke Tran15 visible / 15 total nodes / 60 links

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipAuthorshipAuthorshipAuthorshipWorks onAuthorshipWorks onWorks onWorks onWorks onWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipKe TranAKe TranResearcherWhat Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary TranslationWWhat Does LLM Refinemen...preprint / 2026Sony TrenousASony TrenousResearcherShaomu TanAShaomu TanResearcherDawei ZhuADawei ZhuResearcherMichael DenkowskiAMichael DenkowskiResearcherBill ByrneABill ByrneResearcherLeonardo RibeiroALeonardo RibeiroResearcherFelix HieberAFelix HieberResearcherFrom English To Foreign Languages: Transferring Pre-trained Language ModelsWFrom English To Foreign...preprint / 2020Recurrent Memory Networks for Language ModelingWRecurrent Memory Networ...preprint / 2016Unsupervised Neural Hidden Markov ModelsWUnsupervised Neural Hid...preprint / 2016Computation and LanguageTComputation and Language14115 worksThe Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine TranslationWThe Devil is in the Det...preprint / 2022Sockeye 3: Fast Neural Machine Translation with PyTorchWSockeye 3: Fast Neural ...preprint / 2022
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Ke Tran

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