Papers by Steven Koniaev

1 papers
PreSumm: Predicting Summarization Performance Without Summarizing (2025.findings-acl)

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Challenge: Recent advances in summarization models do not produce all documents in the same way, despite their inherent design principles and operational mechanisms.
Approach: They propose a task where a system predicts summarization performance based solely on the source document.
Outcome: The proposed task identifies documents that require manual summarization and improves dataset quality by filtering outliers and noisy documents.

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