Author

O. Jeong

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#small language model Open access Oct 2026

PRISM-LoRA: Principal-Direction-Guided Single-LoRA Merging Framework for Continual Learning of Large Language Models

PRISM-LoRA is proposed, a replay-free framework that repeatedly trains a single LoRA module, merges its update into the backbone, and reinitializes it for the next task, unlike LoRA-based continual-learning approaches that retain task-specific modules or allocate separate task-specific learning spaces.

Taehyeong Kwon, O. Jeong · Mathematics · 0 citations

Open access Sep 2026

CARE-MoE: Conflict-Aware Routing-Guided Expert Mixture-of-Experts for Continual Learning

Continual learning (CL) aims to learn new tasks sequentially while retaining prior knowledge. Although recent mixture-of-experts (MoE) architectures mitigate catastrophic forgetting by reducing global parameter sharing, they introduce a new bottleneck: expert-level interference. Because multiple tasks inevitably share...

SeonGyoung Lee, DaeHo Kim, SoYeop Yoo et al. · Mathematics · 0 citations