Papers with connectionist-temporal-classification-based (CTC)
Non-Autoregressive Machine Translation: It’s Not as Fast as it Seems (2022.naacl-main)
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| Challenge: | Efficient machine translation models are commercially important as they can increase inference speeds, reduce costs and carbon emissions. |
| Approach: | They compare NAR models with autoregressive models to evaluate their performance . they point out flaws in evaluation methodology and argue for consistent evaluation . |
| Outcome: | The proposed model is faster on GPUs, but slower under more realistic usage conditions. |