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PhD Fellow Machine Learning Department of Physics and Technology daniel.kaiser@uit.no Tromsø

Daniel Kaiser

Job description

PhD Fellow in the Machine Learning group researching latent spaces in Large Language Models. Affiliated with the SFF Integreat: Knowledge based Machine Learning.

  • Daniel Kaiser, Arnoldo Frigessi, Ali Ramezani-Kebrya, Benjamin Ricaud :
    CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density
    International Conference on Learning Representations (ICLR) 2026 DOI / ARKIV
  • Daniel Kaiser, Ali Ramezani-Kebrya, Arnoldo Frigessi, Benjamin Ricaud :
    Decomposing Reasoning Efficiency in Large Language Models
    06. December 2025 DOI / ARKIV
  • Benjamin Ricaud, Daniel Kaiser, Tetiana Lutchyn, Artem Galushko :
    Using Generative Artificial Intelligence (AI) for the Effective Systematization, Preservation, and Presentation of War Crimes Archives
    20. February 2025 ARKIV

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