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Jiankun Wang

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Preprint Aug 2026

Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models?

It is shown that broader retrieval benefits visual DLM-RAG through selective evidence admission rather than unconditional evidence expansion, and the Entropy-Based Candidate Filter (ECF), a training-free evidence-admission framework is proposed, shows that broader retrieval benefits visual DLM-RAG through selective evi...

Jiankun Wang, Yi-Sen Gao, Zi-Wei Zhang et al. · 0 citations
Jul 2026

Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning

Dynamic Subspace Boosting (Dysco), a plug-in method that allocates client-specific LoRA subspaces in a federated and dynamic manner, and proves that Dysco's server-fixed merged subspaces yield a tighter upper bound on this error.

Haobo Zhang, Jiankun Wang, Suraj Rajendran et al. · 0 citations

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