Author

Jongsuk Kim

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#machine learning Feb 2026

Learning Where It Matters: Geometric Anchoring for Robust Preference Alignment

Geometric Anchor Preference Optimization is proposed, which replaces the fixed reference with a dynamic, geometry-aware anchor: an adversarial local perturbation of the current policy within a small radius that serves as a pessimistic baseline that enables an adaptive reweighting mechanism, modulating the importance of...

Young-Seok Cho, Jongsuk Kim, Ji-hoon Kim · arXiv.org · 0 citations

Preprint Aug 2026

MLLMCLIP: Feature-Level Distillation of MLLM for Robust Vision-Language Representations

Compared to prior CLIP-enhancement methods, MLLMCLIP achieves state-of-the-art compositional accuracy while delivering consistent gains on standard zero-shot classification and image-text retrieval, showing that feature-level distillation strengthens both compositional and general vision-language representation capabil...

Jongsuk Kim, Qi-Yu Wu, Zhuoyuan Mao et al. · 0 citations