241 citations · 983 across the 67 of their papers we have counts for
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cs.LG2020★ 2 cited
MLE-guided parameter search for task loss minimization in neural sequence modeling
Sean Welleck, Kyunghyun Cho
Neural autoregressive sequence models are used to generate sequences in a variety of natural language processing (NLP) tasks, where they are evaluated according to sequence-level t…
cs.LG2020★ 7 cited
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
Sean Welleck, Ilia Kulikov, Jaedeok Kim +2
Despite strong performance on a variety of tasks, neural sequence models trained with maximum likelihood have been shown to exhibit issues such as length bias and degenerate repeti…