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Jongheon Jeong

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#artificial intelligence Preprint Aug 2026

CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation

This work proposes CPR (Critical-Point Routing), a token-level routing framework between a base model and its expert derivative, based on critical tokens where the base model fails but the expert succeeds, and achieves state-of-the-art across all settings.

Kwangmin Ki, Yunhun Nam, Jongheon Jeong et al. · 0 citations
Jun 2026

Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs

ViPSy (Vision-driven Preference Synthesis), a framework for constructing preference data that are both policy-aligned and visually grounded, is proposed, and experiments show that the resulting VLM, preference-aligned with ViPSy-constructed preference pairs, achieves a new state-of-the-art in hallucination mitigation.

Yunhun Nam, Jongheon Jeong · 0 citations

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