Elements of World Knowledge (EWOK): A cognition‑inspired framework for evaluating basic world knowledge in language models.
Ivanova*, A. A., Sathe*, A., Lipkin*, B., Kumar, U. U., Radkani, S., Clark, T. H., Kauf, C., Hu, J., Pramod, R. T., Grand, G., Paulun, V. C., Ryskina, M., Akyurek, E., Wilcox, E. G., Rashid, N., Choshen, L., Levy, R., Fedorenko, E., Tenenbaum, J., Andreas J. In press.
[Tweeprint]

Estimating and Correcting Yes‑No Bias in Language Models.
Bhatt O., Ivanova A. A. 2025.

Primitive Linguistic Compositionality in a Hebbian Neural Network.
Flint G. R., Ivanova A. A. 2025.

How to evaluate the cognitive abilities of LLMs.
Ivanova, A. A. 2025.

Dissociating language and thought in large language models.
Mahowald K.*, Ivanova A. A.*, Blank I. A., Kanwisher N., Tenenbaum J. B., Fedorenko E.

Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models.
Kauf C., Chersoni E., Lenci A., Fedorenko E., Ivanova A. A. 2024.

Language models align with human judgments on key grammatical constructions (comment article).
Hu, J., Mahowald, K., Lupyan, G., Ivanova, A. A., Levy, R. 2024.

Dissociating language and thought in large language models: A cognitive perspective.
Mahowald*, K., Ivanova*, A. A., Blank, I. A., Kanwisher, N., Tenenbaum, J. B., & Fedorenko, E. 2023.
[Tweeprint]

Event knowledge in language models: The gap between the impossible and the unlikely.
Kauf, C., Ivanova, A. A., Rambelli, G., Chersoni, E., She, J., Chowdhury, Z., Fedorenko, E., & Lenci, A. 2022.
[Tweeprint]

Lessons from aphantasia: A revised framework for investigating the function of mental imagery.
Blomkvist A., Krempel R., Waddle D., Walsh E., Ivanova A. A. In press.

The language network as a natural kind within the broader landscape of the human brain.
Fedorenko, E., Ivanova, A. A., Regev, T. 2024.

The language network reliably ‘tracks’ naturalistic meaningful non‑verbal stimuli.
Sueoka Y., Paunov A., Tanner A., Blank I. A., **Ivanova A., **Fedorenko E. 2024. 

The language network is not engaged in object categorization.
Benn*, Y., Ivanova*, A. A., Clark, O., Mineroff, Z., Seikus, C., Silva, J. S., Varley, R., & Fedorenko, E. 2023.
[Tweeprint]

The language network is recruited but not required for nonverbal event semantics.
Ivanova, A., Mineroff, Z., Zimmerer, V., Kanwisher, N., Varley, R., & Fedorenko, E. 2021.
[Tweeprint]

Comprehension of computer code relies primarily on domain-general executive brain regions.
Ivanova, A. A., Srikant, S., Sueoka, Y., Kean, H. H., Dhamala, R., O'Reilly, U.-M., Bers, M. U., & Fedorenko, E. 2020
[Tweeprint]

LITcoder: A General-Purpose Library for Building and Comparing Encoding Models.
Binhuraib T., Gao R., Ivanova A. A. 2025.

A Better Way to Do Masked Language Model Scoring.
Kauf, C., & Ivanova, A. A. 2023.
[Tweeprint]

Beyond linear regression: Mapping models in cognitive neuroscience should align with research goals.
Ivanova, A. A., Schrimpf, M., Anzellotti, S., Zaslavsky, N., Fedorenko, E., & Isik, L. 2022.
[Tweeprint]