Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?
We show LLMs fail to exploit grammatical explanations for translation, but benefit from typological knowledge for linguistic tasks.
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Publications
Topic-guided Example Selection for Domain Adaptation in LLM-based Machine Translation
We introduce a topic-based method for selecting examples that achieves leading translation results for low-resource, out-of-domain settings for translation with LLMs.
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Target-side CCG Supertag Prediction Improves Machine Translation
Using a novel tag prediction step in decoding we improve NMT quality in a low-resource scenario.
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Detecting Trending Terms in Cybersecurity Forum Discussions
We introduce a lightweight method to detect trending terms in cybersecurity forums.
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A Third-Factor Account of Locality: Explaining Impenetrability and Intervention Effects with Minimal Search
This paper unites two word order constraints under domain-general minimal search
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