Papers with Chain-of-Thought prompting of large language models

1 papers
Discovering and Articulating Frames of Communication from Social Media Using Chain-of-Thought Reasoning (2024.eacl-long)

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Challenge: a method for Discovering and Articulating FoCs is proposed . 86.2% of the FoC encoded by communication experts were also uncovered .
Approach: They propose a method for Discovering and Articulating FoCs that uses Chain-of-Thought prompting and In-Context Active Curriculum Learning to uncover FoC.
Outcome: The proposed method uncovered 86.72% of the FoCs encoded by communication experts on the same reference dataset.

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