In this work, we explore idiomatic language processing with Large Language Models (LLMs). We introduce the Idiomatic language Test Suite IdioTS, a new dataset of difficult examples specifically designed by language experts to assess the capabilities of LLMs to process figurative language at sentence level. We propose a comprehensive evaluation methodology based on an idiom detection task, where LLMs are prompted with detecting an idiomatic expression in a given English sentence. We present a thorough automatic and manual evaluation of the results and an extensive error analysis.
@article{arxiv.2405.10579,
title = {A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models},
author = {Francesca De Luca Fornaciari and Begoña Altuna and Itziar Gonzalez-Dios and Maite Melero},
journal= {arXiv preprint arXiv:2405.10579},
year = {2024}
}