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20242026
most citedSherkala-Chat: Building a State-of-the-Art LLM for Kazakh in a Moderately Resourced Setting

1 citations · 2 across the 4 of their papers we have counts for

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cs.DC2026

COPUS: Co-adaptive Parallelism and Batch Size Selection in Large Language Model Training

Akhmed Sakip, Erland Hilman Fuadi, Omar Sayedelahl +6

Training large language models requires jointly configuring two interdependent aspects of the system: the global batch size, which governs statistical efficiency, and the 3D parall…