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nlp:non-autoregressive_seq2seq

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nlp:non-autoregressive_seq2seq [2023/07/06 01:02] – [Key Papers] jmflanignlp:non-autoregressive_seq2seq [2024/05/03 03:37] (current) – [Key Papers] jmflanig
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   * **[[https://arxiv.org/pdf/2004.07437.pdf|Non-Autoregressive Machine Translation with Latent Alignments]]** From Google, uses CTC loss from Gu & Kong 2020   * **[[https://arxiv.org/pdf/2004.07437.pdf|Non-Autoregressive Machine Translation with Latent Alignments]]** From Google, uses CTC loss from Gu & Kong 2020
   * [[https://arxiv.org/pdf/2006.10369.pdf|Kasai et al 2020 - Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation]]   * [[https://arxiv.org/pdf/2006.10369.pdf|Kasai et al 2020 - Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation]]
 +  * [[https://arxiv.org/pdf/2404.12022|Wu et al 2024 - Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration]]
  
 ===== Papers ===== ===== Papers =====
   * [[https://arxiv.org/pdf/2305.10427.pdf|Santilli et al 2023 - Accelerating Transformer Inference for Translation via Parallel Decoding]]   * [[https://arxiv.org/pdf/2305.10427.pdf|Santilli et al 2023 - Accelerating Transformer Inference for Translation via Parallel Decoding]]
  
nlp/non-autoregressive_seq2seq.1688605320.txt.gz · Last modified: 2023/07/06 01:02 by jmflanig
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