Author

Jongsuk Kim

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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 capability.

Jongsuk Kim, Qiyu Wu, Zhuoyuan Mao et al. · 0 citations