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Lossless Acceleration for Seq2seq Generation with Aggressive Decoding. (arXiv:2205.10350v1 [cs.CL])
May 23, 2022, 1:12 a.m. | Tao Ge, Heming Xia, Xin Sun, Si-Qing Chen, Furu Wei
cs.CL updates on arXiv.org arxiv.org
We study lossless acceleration for seq2seq generation with a novel decoding
algorithm -- Aggressive Decoding. Unlike the previous efforts (e.g.,
non-autoregressive decoding) speeding up seq2seq generation at the cost of
quality loss, our approach aims to yield the identical (or better) generation
compared with autoregressive decoding but in a significant speedup, achieved by
innovative cooperation of aggressive decoding and verification that are both
efficient due to parallel computing.
We propose two Aggressive Decoding paradigms for 2 kinds of seq2seq tasks: …
More from arxiv.org / cs.CL updates on arXiv.org
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