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The sequence-to-sequence (seq2seq) model for neural machine translation has significantly improved the accuracy of language translation.
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Sequence to Sequence Learning with Neural Networks. In Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2 (NIPS’14) . MIT Press, Cambridge, MA, USA, 3104–3112
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Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs
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Translating CUDA to OpenCL for Hardware Generation Using Neural Machine Translation. In Proceedings of the 2019 IEEE/ACM International Symposium on Code Generation and Optimization (CGO 2019) . IEEE Press, Piscataway, NJ, USA, 285–286
Yonghae Kim and Hyesoon Kim. 2019 · 2019
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