2 citations · 2 across the 2 of their papers we have counts for
3 papers
cond-mat.dis-nn2026★ 2 cited
Phase transition in large language models and the criticality of natural languages
Kai Nakaishi, Yoshihiko Nishikawa, Koji Hukushima
Generation of text and speech in natural languages can be modeled as a stochastic process. This idea dates back to the seminal work of Markov and, later, to that of Shannon and als…
cs.CL2026
Rethinking the Relationship between the Power Law and Hierarchical Structures
Kai Nakaishi, Ryo Yoshida, Kohei Kajikawa +2
Statistical analysis of corpora provides an approach to quantitatively investigate natural languages. This approach has revealed that several power laws consistently emerge across…
cond-mat.dis-nn2024
Statistical properties of probabilistic context-sensitive grammars
Kai Nakaishi, Koji Hukushima
Probabilistic context-free grammars (PCFGs), which are commonly used to generate trees randomly, have been well analyzed theoretically, leading to applications in various domains.…