2 papers
cs.CL2024
PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency
Preferred Elements, :, Kenshin Abe +18
We introduce PLaMo-100B, a large-scale language model designed for Japanese proficiency. The model was trained from scratch using 2 trillion tokens, with architecture such as QK No…
cs.FL2019
Query Learning Algorithm for Residual Symbolic Finite Automata
Kaizaburo Chubachi, Diptarama Hendrian, Ryo Yoshinaka +1
We propose a query learning algorithm for residual symbolic finite automata (RSFAs). Symbolic finite automata (SFAs) are finite automata whose transitions are labeled by predicates…