Papers by Tongzheng Ren

1 papers
Unsupervised Out-of-Domain Detection via Pre-trained Transformers (2021.acl-long)

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Challenge: Prior work on out-of-domain detection requires in-domain task labels and is limited to supervised classification scenarios.
Approach: They propose a method to construct out-of-domain detectors efficiently using pre-trained transformers.
Outcome: The proposed method greatly improves out-of-domain detection ability in a more general scenario.

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