Scholarship / LINC Lab
Publications
Research articles connecting language, cognition, neuroscience, and intelligent systems.
Selected work
2026
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01
Wang, S., Kim, S., Binder, J. R., Lin, N., & Pylkkänen, L. (2026). Two words are faster than one: Neural dynamics of accelerated meaning in phrases. Journal of Neuroscience.
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02
Zhang, Y., Wang, S., Zong, C., & Lin, N. (2026). Divergent neural dynamics of multidimensional semantic access for concrete and abstract words. Brain and Language
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03
Wang, S., Min, S., Wang, H., Gao, X., & Ding, N. (2026). CSEBench: Evaluating large language model English proficiency against China's Standards of English Language Ability. Computers and Education: Artificial Intelligence
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04
Gao, X., Wang, S., Zou, J., Zhao, Li., & Ding, N. (2026). SIGHT: Gaze-guided attention-head selection for head-spare PEET. EMNLP accepted
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05
Ye, C., Zhang, Y., Sun, J., Li, C., Zhao, Y., & Wang, S. (2026, July). Decoding the multimodal mind: Generalizable brain-to-text translation via multimodal alignment and adaptive routing. In Findings of the Association for Computational Linguistics: ACL 2026 (pp. 22532-22546).
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06
Gao, X., Wang, S., & Ding, N. (2026, July). Gated Tree Cross-Attention for Checkpoint-Compatible Syntax Injection in Decoder-Only LLMs. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 35274-35288).
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07
Wang, S., Wu, Y., Li, N., Chen, Z., Wang, G., Zhang, S., ... & Chen, Y. (2026, May). ChineseDevBench: A Chinese Developmental Benchmark for Language Development. In Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics (CMCL)@ LREC (Vol. 2026, pp. 10-24).
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08
Lee, S. H., & Wang, S. (2026). Probability versus Prompting: Language Model Performance on Dependencies beyond English. Studies in Linguistics, 79, 205-221.