Papers by Xinyou Wang
Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators (2022.emnlp-main)
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| Challenge: | Non-autoregressive (NAR) neural machine translation models require a conditional independence assumption on target sequences, resulting in less informative learning signals. |
| Approach: | They propose a model-agnostic multi-task learning framework to provide more informative learning signals for NAR models under conventional MLE training. |
| Outcome: | The proposed framework improves accuracy of multiple NAR baselines without additional decoding overhead. |