Papers by Seungil Lee

1 papers
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation (2023.findings-acl)

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Challenge: Recent studies suggest that neural classifiers make overly confident predictions for examples from unseen distributions.
Approach: They propose a new evaluation metric, DENSITY, which measures how likely a response would appear in the distribution of human conversations.
Outcome: The proposed metric measures how likely a response would appear in the distribution of human conversations.

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