La Leaderboard: A Large Language Model Leaderboard for Spanish Varieties and Languages of Spain and Latin America

ACL ARR 2025 February Submission8058 Authors

Abstract: Leaderboards showcase the current capabilities and limitations of Large Language Models (LLMs). To motivate the development of LLMs that represent the linguistic and cultural diversity of the Spanish-speaking community, we present La Leaderboard, the first open-source leaderboard to evaluate generative LLMs in languages and language varieties of Spain and Latin America. La Leaderboard is a community-driven project that aims to establish an evaluation standard for everyone interested in developing LLMs for the Spanish-speaking community. This initial version combines 66 datasets in Catalan, Basque, Galician, and different Spanish varieties, showcasing the evaluation results of 50 models. To encourage community-driven development of leaderboards in other languages, we explain our methodology, including guidance on selecting the most suitable evaluation setup for each downstream task. In particular, we provide a rationale for using fewer few-shot examples than typically found in the literature, aiming to reduce environmental impact and facilitate access to reproducible results for a broader research community.

Paper Type: Long

Research Area: Resources and Evaluation

Research Area Keywords: evaluation methodologies; benchmarking; language resources; NLP datasets; multilingual corpora; datasets for low resource languages; automatic creation and evaluation of language resources;

Contribution Types: Model analysis & interpretability, NLP engineering experiment, Approaches to low-resource settings, Approaches low compute settings-efficiency, Publicly available software and/or pre-trained models, Data resources

Languages Studied: Spanish, Catalan, Basque, Galician

Submission Number: 8058