Papers by Matt DeButts

1 papers
Explaining Mixtures of Sources in News Articles (2024.findings-emnlp)

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Challenge: a recent study shows that language models are essential for long-form article generation.
Approach: They propose a generative process where a source-selection schema is first selected by a journalist, and then sources are chosen based on categories in that schema.
Outcome: The proposed model can predict the most suitable schema given just the headline with reasonable accuracy.

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