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cs.CL2024
Pipeline Analysis for Developing Instruct LLMs in Low-Resource Languages: A Case Study on Basque
Ander Corral, Ixak Sarasua, Xabier Saralegi
Large language models (LLMs) are typically optimized for resource-rich languages like English, exacerbating the gap between high-resource and underrepresented languages. This work…
cs.CL2024
XNLIeu: a dataset for cross-lingual NLI in Basque
Maite Heredia, Julen Etxaniz, Muitze Zulaika +3
XNLI is a popular Natural Language Inference (NLI) benchmark widely used to evaluate cross-lingual Natural Language Understanding (NLU) capabilities across languages. In this paper…