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Showing 1–5 of 5 results
Advanced filters: Author: Elif Akata Clear advanced filters

  • Modern vision-based language models face challenges with complex physical interactions, causal reasoning and intuitive psychology. Schulze Buschoff and colleagues demonstrate that while some models exhibit proficient visual data processing capabilities, they fall short of human performance in these cognitive domains.

    • Luca M. Schulze Buschoff
    • Elif Akata
    • Eric Schulz
    ResearchOpen Access
    Nature Machine Intelligence
    Volume: 7, P: 96-106

  • Large language models perform well in self-interested games such as the iterated Prisoner’s Dilemma but struggle in games that require coordination. Social reasoning strategies can improve cooperative outcomes with both other models and human players.

    • Elif Akata
    • Lion Schulz
    • Eric Schulz
    ResearchOpen Access
    Nature Human Behaviour
    Volume: 9, P: 1380-1390

  • A computational model called Centaur, developed by fine-tuning a language model on a huge dataset called Psych-101, can predict and simulate human nature in experiments expressible in natural language, even in previously unseen situations.

    • Marcel Binz
    • Elif Akata
    • Eric Schulz
    ResearchOpen Access
    Nature
    Volume: 644, P: 1002-1009

  • Lenardo and colleagues identify a new human genetic disease, GISELL, whereby ceramide lipid homeostasis is disrupted, thereby altering T cell longevity. Deficiency of GTPase of the immunity-associated protein 5 (GIMAP5) in patients leads to cellular senescence, immunodeficiency and early mortality.

    • Ann Y. Park
    • Michael Leney-Greene
    • Michael J. Lenardo
    Research
    Nature Immunology
    Volume: 25, P: 282-293