Garbage In, Flowers Out: Noisy Training Data Help Generative Models at Test Time
Despite important progress, conversational systems often generate dialogues that sound unnatural to humans. We conjecture that the reason lies in the different training and testing conditions: agents are trained in a controlled “lab” setting but tested in the “wild”. During training, they learn to u...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Accademia University Press
2022-07-01
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| Series: | IJCoL |
| Online Access: | https://journals.openedition.org/ijcol/974 |
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