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Found 7 papers, 0 papers with code
Samsung and University of Edinburgh’s System for the IWSLT 2018 Low Resource MT Task
This paper describes the joint submission to the IWSLT 2018 Low Resource MT task by Samsung R&D Institute, Poland, and the University of Edinburgh.
Samsung R&D Institute Poland submission to WMT20 News Translation Task
We submitted systems for six language directions: English to Czech, Czech to English, English to Polish, Polish to English, English to Inuktitut and Inuktitut to English.
Samsung and University of Edinburgh’s System for the IWSLT 2019
This paper describes the joint submission to the IWSLT 2019 English to Czech task by Samsung RD Institute, Poland, and the University of Edinburgh.
Samsung’s System for the IWSLT 2019 End-to-End Speech Translation Task
This paper describes the submission to IWSLT 2019 End- to-End speech translation task by Samsung R&D Institute, Poland.
Samsung R&D Institute Poland submission to WAT 2021 Indic Language Multilingual Task
We researched and applied a novel approach for finding the best hyperparameters for ensembling a number of translation models.
The Samsung and University of Edinburgh’s submission to IWSLT17
This paper describes the joint submission of Samsung Research and Development, Warsaw, Poland and the University of Edinburgh team to the IWSLT MT task for TED talks.
Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
As a solution, we propose Dynamic Memory Compression (DMC), a method for on-line key-value cache compression at inference time.
