Author

Nuno Vasconcelos

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Preprint Oct 2026

Diffusion Meta-Prompting and Steering for Generalizable Foundation Model Adaptation

Prompt learning is a popular method for adapting foundation models, but learned prompts are typically task-specific and fail to generalize to new classes, domains, or compositions of tasks. In this paper, we introduce a Diffusion Meta-Prompt (DMP) model , a framework that models the distribution of learned prompts usin...

Deepak Sridhar, Yi Li, K. Bhardwaj et al. · 0 citations

Jul 2026

MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration

MED-DSLC is a lightweight solution for MED classification, which is shown to preserve within-domain discrimination while reducing cross-domain logit interference with minimal data, and substantially improves mean accuracy, cross-domain robustness, and scalability in the size of MED classification problem.

Zheng Zeng, Deepak Sridhar, Nuno Vasconcelos · arXiv.org · 0 citations