3 citations · 3 across the 3 of their papers we have counts for
3 papers
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
Information Locality as an Inductive Bias for Neural Language Models
Taiga Someya, Anej Svete, Brian DuSell +3
Inductive biases are inherent in every machine learning system, shaping how models generalize from finite data. In the case of neural language models (LMs), debates persist as to w…
cs.CL2023★ 3 cited
JCoLA: Japanese Corpus of Linguistic Acceptability
Taiga Someya, Yushi Sugimoto, Yohei Oseki
Neural language models have exhibited outstanding performance in a range of downstream tasks. However, there is limited understanding regarding the extent to which these models int…