Papers with programmatic weak supervision

1 papers
Alfred: A System for Prompted Weak Supervision (2023.acl-demo)

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Challenge: Alfred is the first system for programmatic weak supervision (PWS) that creates training data for machine learning by prompting.
Approach: They propose to use Python to create training data by prompting for machine learning . they find that it improves query throughput by 2.9x versus a naive approach .
Outcome: The proposed system improves query throughput by 2.9x versus a naive approach.

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