5 citations · 8 across the 8 of their papers we have counts for
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cs.AI2026
A.X K2 Technical Report
Cheolseung Baek, Dhammiko Arya, Eunki Kim +40
We introduce A.X K2, a 688B-parameter Mixture-of-Experts (MoE) language model trained from scratch as a high-performance foundation for \emph{agentic} applications. Trained on appr…
cs.AI2024
Measuring Sample Importance in Data Pruning for Language Models based on Information Entropy
Minsang Kim, Seungjun Baek
Compute-efficient training of language models has become an important issue. We consider data pruning for data-efficient training of LLMs. In this work, we consider a data pruning…
cs.AI2024★ 5 cited
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction
Minsang Kim, Seungjun Baek
Learning positional information of nodes in a graph is important for link prediction tasks. We propose a representation of positional information using representative nodes called…