Publications

Feel free to refer to my Curriculum Vitae for an up-to-date list.

2024

  1. Scaled-up, Shaped-up, but Letting Down? Reliability Fluctuations of Large Language Model Families
    Lexin Zhou, Wout Schellaert, Fernando Martı́nez-Plumed, Yael Moros-Daval, Cèsar Ferri, and José Hernández-Orallo
    To Appear, 2024
  2. An LLM Feature-based Framework for Dialogue Constructiveness Assessment
    Lexin Zhou, Youmna Farag, and Andreas Vlachos
    Under Review, 2024

2023

  1. Predictable Artificial Intelligence
    Lexin Zhou, Pablo A. Moreno-Casares, Fernando Martı́nez-Plumed, John Burden, Ryan Burnell, Lucy Cheke, and 9 more authors
    Under Review, 2023

2022

  1. Reject Before You Run: Small Assessors Anticipate Big Language Models
    Lexin Zhou, Fernando Martı́nez-Plumed, José Hernández-Orallo, Cèsar Ferri, and Wout Schellaert
    In Workshop on AI Evaluation Beyond Metrics at IJCAI, 2022
  2. A framework for Categorising AI Evaluation Instruments
    A Cohn, José Hernández-Orallo, Julius Sechang Mboli, Yael Moros-Daval, Zhiliang Xiang, and Lexin Zhou
    In Workshop on AI Evaluation Beyond Metrics at IJCAI, 2022
  3. Machine Learning Uncovers Blood Test Patterns Subphenotypes at Hospital Admission Discerning Increased 30-day ICU Mortality Rates in COVID-19 Elderly Patients
    Nekane Romero-Garcı́a, Lexin Zhou, Rafael Badenes, Teresa Garcia-Morales, Agustín Cámara, Francisco T García Ruiz, and 2 more authors
    42nd International Symposium on Intensive Care & Emergency Medicine, 2022
  4. JMIR PHS
    Subphenotyping of Mexican patients with COVID-19 at preadmission to anticipate severity stratification: age-sex unbiased meta-clustering technique
    Lexin Zhou, Nekane Romero-Garcı́a, Juan Martı́nez-Miranda, J Alberto Conejero, Juan M Garcı́a-Gómez, and Carlos Sáez
    JMIR Public Health and Surveillance, 2022