publications

  1. Language Model Teams as Distributed Systems
    Elizabeth Mieczkowski, Katherine M Collins, Ilia Sucholutsky, Natalia Vélez, Thomas L Griffiths
    arXiv preprint arXiv:2603.12229, 2026
  2. People evaluate idle collaborators based on their impact on task efficiency
    Elizabeth Mieczkowski, Cameron Turner, Natalia Vélez, Thomas L Griffiths
    Cognition, 2025
  3. Partner modelling emerges in recurrent agents (but only when it matters)
    Ruaridh Mon-Williams, Max Taylor-Davies, Elizabeth Mieczkowski, Natalia Velez, Neil R Bramley, Yanwei Wang, Thomas L Griffiths, Christopher G Lucas
    arXiv preprint arXiv:2505.17323, 2025
  4. Predicting multi-agent specialization via task parallelizability
    Elizabeth Mieczkowski, Ruaridh Mon-Williams, Neil Bramley, Christopher G Lucas, Natalia Velez, Thomas L Griffiths
    arXiv preprint arXiv:2503.15703, 2025
  5. Discovering Hidden Laws in Innovation by Recombination
    Bonan Zhao, Elizabeth Mieczkowski, Dilip Arumugam, Natalia VŽlez, Tom Griffiths
    Proceedings of the Annual Meeting of the Cognitive Science Society, 2025
  6. Decoding predicted future states from the brain’s physics engine
    RT Pramod, Elizabeth Mieczkowski, Cyn Fang, Josh Tenenbaum, Nancy Kanwisher
    Journal of Vision, 2024
  7. Many Hands Don’t Always Make Light Work: Explaining Social Loafing via Multiprocessing Efficiency
    Elizabeth Mieczkowski, Cameron Turner, Natalia Vélez, Thomas L. Griffiths
    Proceedings of the Annual Meeting of the Cognitive Science Society, 46 (0), 2024
  8. fROI-level computational models enable broad-scale experimental testing and expose key divergences between models and brains
    Elizabeth Mieczkowski, Alex Abate, Willian De Faria, Kirsten Lydic, James DiCarlo, Nancy Kanwisher, N. Apurva Ratan Murty
    Journal of Vision, 2023
  9. Computational Models Recapitulate Key Signatures of Face, Body and Scene Processing in the FFA, EBA, and PPA
    Alex Abate, Elizabeth Mieczkowski, Meenakshi Khosla, James DiCarlo, Nancy Kanwisher, N. Apurva Ratan Murty
    Journal of Vision, 2022
  10. Intensive fMRI scanning and computational models can provide insight into the neural basis of developmental prosopagnosia
    Subha Nawer Pushpita, Elizabeth Mieczkowski, Bradley Duchaine, N. Apurva Ratan Murty
    Journal of Vision, 2023