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1. Updating the German Psycholinguistic Word Toolbox with AI-Generated Estimates of Concreteness, Valence, Arousal, Age of Acquisition, and Familiarity
   Journal of Cognition2026-01-08S2
2. Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
   Annual Meeting of the Association for Computational Linguistics2026S2
3. Learning Vision-Language Alignment in Unified LLMs with 24 Text Tokens per Image
   International Workshop on Spoken Language Translation2026S2
4. Measuring what Matters: Construct Validity in Large Language Model Benchmarks
   Advances in Neural Information Processing Systems 382025-11-03alphaXiv arXiv S2
5. BabyBabelLM: A Multilingual Benchmark of Developmentally Plausible Training Data
   Conference of the European Chapter of the Association for Computational Linguistics2025-10-11alphaXiv arXiv S2
6. Spanish is not just one: A dataset of Spanish dialect recognition for LLMs
   Data in Brief2025-09-18S2
7. Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
   2025-09-17alphaXiv arXiv S2
8. Adding LLMs to the psycholinguistic norming toolbox: A practical guide to getting the most out of human ratings
   Behavior Research Methods2025-09-17alphaXiv arXiv S2
9. La Leaderboard: A Large Language Model Leaderboard for Spanish Varieties and Languages of Spain and Latin America
   Annual Meeting of the Association for Computational Linguistics2025-07-01alphaXiv arXiv S2
10. Psycholinguistic Word Features: a New Approach for the Evaluation of LLMs Alignment with Humans
    arXiv.org2025-05-29alphaXiv arXiv S2
11. Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation
    arXiv.org2025-04-09alphaXiv arXiv S2
12. It's the same but not the same: Do LLMs distinguish Spanish varieties?
    Proces. del Leng. Natural2025-04-08alphaXiv arXiv S2
13. Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident, specially When They are Wrong
    IEEE Intelligent Systems2025-01-16alphaXiv arXiv S2
14. Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
    arXiv.org2025S2
15. Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong
    arXiv.org2025S2
16. Evaluating Large Language Models with Tests of Spanish as a Foreign Language: Pass or Fail?
    arXiv.org2024-09-08alphaXiv arXiv S2
17. Data in Brief
    S2