Papers by Leroy Wang

2 papers
APPLS: Evaluating Evaluation Metrics for Plain Language Summarization (2024.emnlp-main)

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Challenge: Existing evaluation metrics for plain language summarization (PLS) lack a dedicated assessment metric and the suitability of text generation evaluation metrics is unclear due to unique transformations.
Approach: They propose a granular meta-evaluation testbed to evaluate PLS metrics . they identify four PLS criteria and define perturbations that sensitive metrics should be able to detect .
Outcome: The proposed testbed assesses performance of 14 existing metrics including scores, features, and prompt-based evaluations.
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection (2022.emnlp-main)

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Challenge: Language models rely on massive web crawls for diverse text data, but are rife with undesirable content.
Approach: They analyze newspaper articles written by students from across the country to determine whose language is preferred by a quality filter.
Outcome: The results show that newspapers from wealthier, educated, and urban zones are more likely to be classified as high quality.

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