Papers by Camilla Griffiths

1 papers
Tell, Don’t Show: Leveraging Language Models’ Abstractive Retellings to Model Literary Themes (2025.findings-acl)

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Challenge: Literature challenges traditional bag-of-words approaches for topic modeling because narrative language focuses on immersive sensory details instead of abstractive description or exposition.
Approach: They propose a topic modeling approach that prompts generative language models to *tell* what passages *show*, thereby translating narratives’ surface forms into higher-level concepts and themes.
Outcome: The proposed model can translate narratives’ surface forms into higher-level concepts and themes than by running LDA alone or directly asking LMs to list topics.

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