Team

Roberto Labadie-Tamayo MSc

  • former employee

Short profile

  • Bachelor of Science in Computer Science in December 2021 at the University of Santiago de Cuba
  • NLP researcher at Pattern Recognition and Human Language Technology Center, Valencia, Spain
  • Master's degree in Artificial Intelligence, Shape Recognition and Digital Imaging, October 2023, Universitat Politècnica de València, Spain
  • Organiser of the joint project HUrtful HUmour (HUHU) at Iberlef 2023
  • NLP-Resesrcher at Human Data

Research Interests:

  • Deep Learning
  • Reinforcement Learning
  • Natural Language Processing
  • Large Language Models
  • Graph Neural Networks

Projects

Publications

Labadie-Tamayo, R., Slijepčević, D., Chen, X., Böck, A. J., Babic, A., Freimann, L., Atzmüller, C., & Zeppelzauer, M. (2026). Distilling knowledge from large language models: A concept bottleneck model for hate and counter speech recognition. Information Processing & Management, 63(2, Part A), 104309. https://doi.org/10.1016/j.ipm.2025.104309
Labadie-Tamayo, R., Böck, A. J., Chen, X., & Zeppelzauer, M. (2025). FHSTP@EXIST 2025 Benchmark: Sexism Detection with Transparent Speech Concept Bottleneck Models⋆. 12. https://doi.org/10.48550/arXiv.2507.20924
Apellaniz Portos, M., Labadie-Tamayo, R., Stemmler, C., Feyersinger, E., Babic, A., Bruckner, F., Öhner, V., & Zeppelzauer, M. (2024). Analysis of Hybrid Compositions in Animation Film with Weakly Supervised Learning. Vision of Art - Workshop at the European Conference of Computer Vision (ECCV), 14. https://doi.org/https://doi.org/10.48550/arXiv.2410.04789