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cs.CL2025
Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models
Taiga Someya, Ryo Yoshida, Hitomi Yanaka +1
Recent work has demonstrated that neural language models encode syntactic structures in their internal representations, yet the derivations by which these structures are constructe…
cs.CL2025
If Attention Serves as a Cognitive Model of Human Memory Retrieval, What is the Plausible Memory Representation?
Ryo Yoshida, Shinnosuke Isono, Kohei Kajikawa +3
Recent work in computational psycholinguistics has revealed intriguing parallels between attention mechanisms and human memory retrieval, focusing primarily on vanilla Transformers…
cs.CL2025
Developmentally-plausible Working Memory Shapes a Critical Period for Language Acquisition
Masato Mita, Ryo Yoshida, Yohei Oseki
Large language models possess general linguistic abilities but acquire language less efficiently than humans. This study proposes a method for integrating the developmental charact…