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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.CL2023
Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule
Andrey Bout, Alexander Podolskiy, Sergey Nikolenko +1
Progress in neural grammatical error correction (GEC) is hindered by the lack of annotated training data. Sufficient amounts of high-quality manually annotated data are not availab…