Papers by Jinan Zou

1 papers
Semantic Role Labeling Guided Out-of-distribution Detection (2024.lrec-main)

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Challenge: Existing methods for identifying domain-shifted instances are prone to OOD and adversarial inputs.
Approach: They propose an unsupervised method that separates, extracts, and learns the semantic role labeling guided out-of-distribution Detection (SRLOOD) they propose a self-supervised approach to enhance global-local feature learning by predicting SRL extracted role.
Outcome: The proposed method achieves SOTA performance on four OOD benchmarks.

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