Papers by Iria de-Dios-Flores
Truth Knows No Language: Evaluating Truthfulness Beyond English (2025.acl-long)
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Blanca Calvo Figueras, Eneko Sagarzazu, Julen Etxaniz, Jeremy Barnes, Pablo Gamallo, Iria de-Dios-Flores, Rodrigo Agerri
| Challenge: | a new benchmark evaluates the truthfulness of large language models (LLMs) based on imitative falsehoods. |
| Approach: | They propose a professionally translated extension of the TruthfulQA benchmark . it evaluates truthfulness in Basque, Catalan, Galician, and Spanish . |
| Outcome: | The proposed extension of the TruthfulQA benchmark evaluates truthfulness in Basque, Catalan, Galician, and Spanish. |
Dependency resolution at the syntax-semantics interface: psycholinguistic and computational insights on control dependencies (2023.acl-long)
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| Challenge: | Using psycholinguistic and computational experiments, we compare the ability of humans and several pre-trained masked language models to correctly identify control dependencies in Spanish sentences. |
| Approach: | They compare the ability of humans and several pre-trained masked language models to correctly identify control dependencies in Spanish sentences such as ‘José le prometió/ordenó a Mara ser ordenado/a’. |
| Outcome: | The models fail to identify the correct antecedent in non-adjacent dependencies, showing their reliance on linearity. |
IberoBench: A Benchmark for LLM Evaluation in Iberian Languages (2025.coling-main)
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Irene Baucells, Javier Aula-Blasco, Iria de-Dios-Flores, Silvia Paniagua Suárez, Naiara Perez, Anna Salles, Susana Sotelo Docio, Júlia Falcão, Jose Javier Saiz, Robiert Sepulveda Torres, Jeremy Barnes, Pablo Gamallo, Aitor Gonzalez-Agirre, German Rigau, Marta Villegas
| Challenge: | Existing multi-task benchmarks for Large Language Models are limited to English . a new benchmark is needed to evaluate models on a range of tasks . |
| Approach: | They propose a multilingual, multi-task benchmark for Iberian languages built on the LM Evaluation Harness framework. |
| Outcome: | The proposed benchmark covers 62 tasks divided into 179 subtasks and is available in Iberian, Basque, Catalan, Galician, European Spanish and European Portuguese. |