Fix citations

README.md

@@ -160,7 +160,7 @@ No specific measures were taken to mitigate other types of bias that may be pres
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 
 **BibTeX:**
-
+```
 @inproceedings{de-luca-fornaciari-etal-2024-hard,
     title = "A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models",
     author = "De Luca Fornaciari, Francesca  and
@@ -182,11 +182,13 @@ No specific measures were taken to mitigate other types of bias that may be pres
     pages = "35--44",
     abstract = "In this work, we explore idiomatic language processing with Large Language Models (LLMs). We introduce the Idiomatic language Test Suite IdioTS, a 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 a comprehensive error analysis.",
 }
-
+```
 
 **ACL:**
 
+```
 Francesca De Luca Fornaciari, Begoña Altuna, Itziar Gonzalez-Dios, and Maite Melero. 2024. A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models. In Proceedings of the 4th Workshop on Figurative Language Processing (FigLang 2024), pages 35–44, Mexico City, Mexico (Hybrid). Association for Computational Linguistics.
+```
 
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