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Baojun Lin
ورقة واحدة في مجموعة PaperMetrix
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Controllable Length Control Neural Encoder-Decoder via Reinforcement Learning
2019 · arXiv (Cornell University)
Controlling output length in neural language generation is valuable in many scenarios, especially for the tasks that have length constraints. A model with stronger length control capacity can produce sentences with more specific length, however, …