Papers with chain-of-thought based prompting method

1 papers
ConMeC: A Dataset for Metonymy Resolution with Common Nouns (2025.naacl-long)

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Challenge: Prior work on metonymy resolution has focused on named entities, but common nouns are also a frequent problem.
Approach: They propose a dataset that combines a metonymy dataset and a chain-of-thought based prompting method for detecting metonyms using large language models.
Outcome: The proposed method can detect metonymy using large language models while still struggling with nuanced semantic understanding.

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