Papers with model-agnostic change-point detection

1 papers
Reliable and Interpretable Drift Detection in Streams of Short Texts (2023.acl-industry)

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Challenge: Data drift is a key factor leading to model performance degradation over time.
Approach: They propose a framework for reliable model-agnostic change-point detection and interpretation in large task-oriented dialog systems.
Outcome: The proposed framework is effective in multiple customer deployments.

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