Prompting strategy matters enormously for specialized linguistic tasks—zero-shot LLMs fail at detecting idioms, but one or few examples can dramatically improve performance, though the choice of examples can introduce strong model-specific biases.
This paper studies how to detect Turkish idiomatic light verb constructions (phrases that look literal but function idiomatically) using both traditional supervised learning and large language models with different prompting strategies.