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Preprint Sep 2026

Multi-modal Knowledge Preserving Adapter for Embedding Backward Compatibility

This work introduces Multi-modal Knowledge Preserving Adapter (MKP-Adapter), the first adapter-only BCT approach for Multi-modal Large Language Models (MLLMs) that requires no backbone updates and achieves strong backward compatibility across diverse multi-modal benchmarks.

Jaeseok Byun, Gukyeong Kwon, Han-Kai Hsu et al. · 0 citations
Preprint Sep 2026

ThinkV2V: Unleashing the Reasoning Capability of MLLMs for Instruction-Guided Video Editing

Instruction-guided video editing has made significant progress, yet existing methods use multimodal large language models (MLLMs) primarily as semantic encoders, so they often fall short in working with implicit edits that require causal or semantic reasoning. To bridge this fundamental gap in video editing, we propose...

Dong-Hao Zhou, Hao-Yang He, Fan Zhang et al. · 0 citations

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