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Gi-Jin Lee

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#machine learning Preprint Oct 2026

Learning Rate Transfer for Hybrid Transformer-SSM Architectures

We study learning rate (LR) scaling for hybrid architectures combining Transformer and State-Space Model (SSM) blocks, a class adopted by several recent production language models. In particular, we focus on the gap between the theoretical scaling rules derived for SSMs under zero-order-hold (ZOH) discretization at inf...

Jimin Seo, Gyubok Lee, Yeonsik Jo et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Towards Understanding Pause Token Fine-Tuning Dynamics: A Mode Retention Perspective

This work formalizes a training rule consistent with both Masked Boundary Pause (MBP) and Masked Boundary Pause (MBP), pause tokens placed at reasoning-step boundaries with their loss masked, and demonstrates that this mode-preserving strategy extend gains to GRPO.

Jaehyeon Kim, Suhwan Kim, Nakyung Lee et al. · 0 citations

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