Papers by Sonia Murthy
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts (2022.emnlp-demos)
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Sonia Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel Weld, Tom Hope, Doug Downey
| Challenge: | Current systems that automatically define unfamiliar terms only surface a single "best" description for all users, which may not be accessible for all readers, given varying background knowledge. |
| Approach: | They propose an end-to-end system that generates sets of descriptions of scientific concepts . ACCoRD corpus includes 1,275 labeled contexts and 1,787 expert-authored concept descriptions . |
| Outcome: | The proposed system produces diverse descriptions of concepts in terms of reference concepts. |
Comparing the Evaluation and Production of Loophole Behavior in Humans and Large Language Models (2023.findings-emnlp)
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| Challenge: | a recent study shows that loophole-seeking is frequent and intuitive in children . a large number of models capture the pragmatic understanding required for loopholes, says a researcher . |
| Approach: | a study compares large language models to humans to examine loophole behavior . they found that models struggle to recognize humor in creative exploitation of loopholes . |
| Outcome: | a study compares state-of-the-art models to humans to examine loophole behavior in humans . a large language model can generate loopholes, but only two are capable of generating them . |