Papers with binary quality measurements

1 papers
Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback (2023.acl-long)

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Challenge: Frozen models trained to mimic static datasets can never improve their performance.
Approach: They propose to use binary quality measurements and free-form text feedback to improve conversational skills in a conversational learning framework.
Outcome: The proposed model improves on the DIRECTOR model, which is based on binary quality measurements and free-form text feedback, and shows that iterative retraining and redeployment can improve the model.

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