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I. Ayed

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Are Online Skill and Memory Modules Always Worth Their Tokens? A Budget-Constrained Study of Web Agents

The results suggest that skills and workflow memory can be useful in specific domains, but their apparent gains often vanish against a budget-matched actor, and that run-to-run variance materially affects outcomes and should be reported as a core evaluation criterion for online web agents.

Sina Hajimiri, Masih Aminbeidokhti, J. Dolz et al. · 1 citation
Jul 2026

PRiSM: Prototype Regularization for Few-Shot VLMs

PRiSM is introduced, a class-prototype regularization that can be deployed as a plug and play module on top of any existing baseline method, significantly improving performances and introducing a more realistic benchmark that varies both the levels of class balance and the effective number of classes in few-shot tasks via Dirichlet sampling.

Ghassen Baklouti, Omprakash Chakraborty, J. Dolz et al. · 0 citations

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