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Author

Davide Modolo

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Preprint Sep 2026

Multi-modal Knowledge Preserving Adapter for Embedding Backward Compatibility

Upgrading embedding models typically requires expensive database re-indexing, as new query embeddings are incompatible with existing database embeddings. While Backward Compatible Training (BCT) mitigates this by enforcing compatibility during training, existing approaches often require updating the backbone model. Thi...

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

Mural: Transferring LLM knowledge to image generation via Mixture-of-Transformers

Leveraging capabilities of large language models (LLMs) in text-to-image (T2I) synthesis is an important research direction. In this work we investigate whether the knowledge of a frozen LLM can be effectively utilized in T2I generation when trained exclusively on standard text-image pairs. We integrate a frozen, reaso...

Achin Jain, Jie An, Siddharth Chaudhary et al. · 0 citations

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