2 papers
cs.CL2025
Gamayun's Path to Multilingual Mastery: Cost-Efficient Training of a 1.5B-Parameter LLM
Alexander Podolskiy, Semen Molokov, Timofey Gerasin +14
We present Gamayun, a 1.5B-parameter multilingual language model trained entirely from scratch on 2.5T tokens. Designed for efficiency and deployment in resource-constrained enviro…
cs.LG2025
Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning
Alexey Rukhovich, Alexander Podolskiy, Irina Piontkovskaya
In multi-domain learning, a single model is trained on diverse data domains to leverage shared knowledge and improve generalization. The order in which the data from these domains…