Comparing Transformer Model Interpretability with Human Cognition: A Dual Analysis of Attention and Attribution

Lingchen Kong, Jinnie Shin, Pavlo Antonenko


Anthology ID:
2026.cmcl-1.8
Volume:
Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics
Month:
May
Year:
2026
Address:
Palma, Mallorca (Spain)
Editors:
Byung-Doh Oh, Tatsuki Kuribayashi, Giulia Rambelli, Ece Takmaz, Philipp Wicke, Jixing Li, Ryo Yoshida
Venues:
CMCL | WS
SIG:
Publisher:
ELRA Language Resources Association (ELRA)
Note:
Pages:
86–98
Language:
External URL:
https://lrec.elra.info/lrec2026-ws-cmcl-08
DOI:
10.63317/38zdp2f7ohmo
Bibkey:
Cite (ACL):
Lingchen Kong, Jinnie Shin, and Pavlo Antonenko. 2026. Comparing Transformer Model Interpretability with Human Cognition: A Dual Analysis of Attention and Attribution. In Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics, pages 86–98, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).
Cite (Informal):
Comparing Transformer Model Interpretability with Human Cognition: A Dual Analysis of Attention and Attribution (Kong et al., CMCL 2026)
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