Papers by Haonan Yin

1 papers
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text (2023.acl-long)

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Challenge: Self-supervised representation learning has proved to be a valuable component for out-of-distribution (OoD) detection with only the texts of in-difference (ID) examples.
Approach: They propose a method that integrates strengths and weaknesses of both methods . they use a fine-tuned model as the teacher to teach a randomly initialized student model .
Outcome: The proposed method outperforms human evaluators in the pair-expert task on the Human ChatGPT Comparison Corpus.

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