7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Stabilizing Transformer Training Through Consensus
Shyam Venkatasubramanian, Sean Moushegian, Michael Lin +3
Standard attention-based transformers are known to exhibit instability under learning rate overspecification during training, particularly at high learning rates. While various met…
cs.CL2024★ 7 cited
HyperCLOVA X Technical Report
Kang Min Yoo, Jaegeun Han, Sookyo In +393
We introduce HyperCLOVA X, a family of large language models (LLMs) tailored to the Korean language and culture, along with competitive capabilities in English, math, and coding. H…