Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants (2022.naacl-main)
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| Challenge: | Dynamic Adversarial Data Collection (DADC) is a time-consuming and costly approach . DADC is based on training data collected from adversarial and out-of-domain settings . |
| Approach: | They propose a dynamic data collection approach that uses generator-in-the-loop models to provide real-time suggestions that annotators can approve, modify, or reject. |
| Outcome: | The proposed model is more robust in adversarial and out-of-domain settings and harder for humans to fool. |
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