Author

Yunju Bak

h-index 2 View on Semantic Scholar

We have 2 of 5 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Preprint Oct 2026

Mixture-Trained Merging for Unified Multi-Objective Models

Unified language models are increasingly expected to combine heterogeneous capabilities, such as mathematics, code, instruction following, and controllable thinking behavior, within a single set of parameters. A common solution is sequential post-training on multiple objectives, but this entangles all objectives along...

Seonghyeon Kim, Chaeyun Jang, Seungyoo Lee et al. · 0 citations

Preprint Aug 2026

Let's Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts

A compute-efficient, two-step hyperparameter transfer framework that estimates optimal learning rates for training large MoE models by transferring them across scaling model widths, and subsequently extrapolating to trillion-token horizons is proposed.

Nayeon Kim, Hojin Lee, Yunju Bak et al. · 0 citations