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Author

Naveed Akhtar

2 papers indexed here

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Preprint Sep 2026

The Planning Limits of Latent World Models

World models offer a promising way to help robots understand how the physical world evolves and plan complex behaviours through imagination. Yet existing studies mainly demonstrate what these models can accomplish, leaving unclear when their predictions remain useful for planning and where they fail. We study this ques...

A. Alrasheed, Basim Azam, Naveed Akhtar · 0 citations
Jul 2026

InstructMixup: Instruction-Guided Salient Patch Editing for Robust Data Augmentation

InstructMixup is proposed, a data augmentation method that constructs challenging yet label-consistent training samples entirely within a single visual sample, and outperforms nine competing augmentation methods, surpassing the strongest baseline across all benchmarks.

Khawar Islam, Arif Mahmood, Xin Jin et al. · 1 citation

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