CMT-based prompting produced higher average auto-evaluator scores on a small metaphor-heavy benchmark, but the evaluation lacks statistical tests and unbiased controls.
Narasimhan, and Yuan Cao
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Conceptual Metaphor Theory as a Prompting Paradigm for Large Language Models
CMT-based prompting produced higher average auto-evaluator scores on a small metaphor-heavy benchmark, but the evaluation lacks statistical tests and unbiased controls.