Papers by Silvia Paniagua Suárez
Continued Pretraining and Interpretability-Based Evaluation for Low-Resource Languages: A Galician Case Study (2025.findings-acl)
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| Challenge: | Recent advances in large language models have led to remarkable improvements in language understanding and text generation. |
| Approach: | They propose a framework to evaluate large language models for underrepresented languages . they examine CPT strategies for languages with limited representation in multilingual models . |
| Outcome: | The proposed evaluation framework is based on the case of Galician language . it assesses trade-offs between linguistic enrichment and task-solving capabilities . |
Multi-LMentry: Can Multilingual LLMs Solve Elementary Tasks Across Languages? (2025.emnlp-main)
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Luca Moroni, Javier Aula-Blasco, Simone Conia, Irene Baucells, Naiara Perez, Silvia Paniagua Suárez, Anna Sallés, Malte Ostendorff, Júlia Falcão, Guijin Son, Aitor Gonzalez-Agirre, Roberto Navigli, Marta Villegas
| Challenge: | a recent study focused on complex, high-level tasks, but LMentry is limited to English . a multilingual evaluation of large language models is needed to address this gap, authors say . |
| Approach: | They propose a compact benchmark that enables systematic evaluation of large language models . they propose to use tasks that are trivial for humans but remain surprisingly difficult for LLMs . |
| Outcome: | The proposed benchmark is limited to English, leaving its insights linguistically narrow. |