Preprints
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Zada, Z., Nastase, A., Li, J., Hasson, U (under review). Brains and language models converge on a shared conceptual space across different languages. [pdf]
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Wang, C., Fan, Z., Han, Z., Bi, Y., & Li, J. (under review). Emergent modularity in large language models: Insights from aphasia simulations. [pdf]
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Li, J., Wang, Q., Wang, Y., Wang, C., Ma, Z., Xu, R., Feng, S., Jiang, X. & Meng, Z. (under review). Naturalistic fMRI and MEG recordings during viewing of a reality TV show. [pdf]
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Li, J., Ma, Z., & Wang, C. (under review). MRI datasets for language processing. in Nesi, H., and Milin, P. (Eds.). International Encyclopedia of Language and Linguistics, 3rd Edition. Elsevier.
2025
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Gao, C., Ma, Z., Chen, J., Li, P., Huang, S., Li, J. (2025). Increasing large language models’ alignment with language processing in the human brain. Nature Computational Science. https://doi.org/10.1038/s43588-025-00863-0 [pdf]
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Wang, Q., Zhou, Q., Ma, Z., Wang, N., Zhang, T., Fu, Y. & Li, J. (2025). Le Petit Prince (LPP) Multi-talker: Naturalistic 7T fMRI and EEG dataset. Scientific Data, 12(1). [pdf]
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Xu, T., Li, J., & Jiang, X (2025). Semantic processing of argument structure during naturalistic story listening: Evidence from computational modeling on fMRI. NeuroImage, 314, 121253. [pdf]
2024
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Momenian, M., Ma, Z., Wu, S., Wang, C., Brennan, J., Hale, J., Meyer, L. & Li, J. (2024). Le Petit Prince Hong Kong (LPPHK): Naturalistic fMRI and EEG data from older Cantonese speakers. Scientific Data, 11(1), 992. [pdf]
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Li, J., Wang, Q., Zhou, Q., Yang, L., Shen, Y., Huang, S., Wang, S., Pylkkänen, L. & Huang, Z. (2024). Multi-talker speech comprehension at different temporal scales in listeners with normal and impaired hearing. eLife, 13. [pdf]
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Li, J., Lai, M. & Pylkkänen, L.(2024). Semantic composition in experimental and naturalistic paradigms. Imaging Neuroscience, 2, 1–17. [pdf]
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Gao, C., Li, J., Chen, J., Huang, S. (2024). Measuring meaning composition in the human brain with composition scores from large language models. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (ACL), 11295–11308. [pdf]
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Gao, C., Hu, H., Hu, P., Chen, J., Li, J., Huang, S. (2024). Multilingual pretraining and instruction tuning improves cross-lingual knowledge alignment, but only shallowly. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) (NAACL), 6101–6117. [pdf]
2023
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Zhang, G., Xu, Y., Wang, X., Li, J., Shi, W., Bi, Y. & Lin, N. (2023). A social-semantic working-memory account for two canonical language areas. Nature Human Behaviour, 7(11), 1980–1997. [pdf]
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Dunagan, D., Stanojevi, M., Coavoux, M., Zhang, S., Bhattasali, S., Li, J., Brennan, J. & Hale, J. (2023). Neural correlates of object-extracted relative clause processing across English and Chinese. Neurobiology of Language, 4(3), 455–473. [pdf]
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Gao, C., Huang, S., Li, J., Chen, J. (2023). Roles of scaling and instruction tuning in language perception: Model vs. human attention. Findings of the Association for Computational Linguistics: EMNLP 2023, 13042–13055. [pdf]
2022
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Li, J., Bhattasali, S., Zhang, S., Franzluebbers, B., Luh, W., Spreng, R. N., Brennan, J., Yang, Y., Pallier, C., & Hale, J.(2022). Le Petit Prince multilingual naturalistic fMRI corpus. Scientific Data, 9(1), Article 1. [pdf]
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Zhang, S., Li, J., Yang, Y., & Hale, J. (2022). Decoding the silence: Neural bases of zero pronoun resolution in Chinese. Brain and Language, 224, 105050. [pdf]
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Dunagan, D., Zhang, S., Li, J., Bhattasali, S., Pallier, C., Whitman, J., Yang, Y., & Hale, J. (2022). Neural correlates of semantic number: A cross-linguistic investigation. Brain and Language, 229, 105110. [pdf]
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Hale, J., Campanelli, L., Li, J., Pallier, C., & Brennan, J. (2022). Neuro-computational models of language processing. Annual Review of Linguistics, 8, 427-446. [pdf]