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Puay Siew Tan

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#artificial intelligence Preprint Sep 2026

In-Context Guidance: Learning Inter-Task Synergies via Numerical Foundational Models for Few-Shot Multitask Optimization

Multi-task optimization (MTO) addresses a set of optimization tasks simultaneously, often suffering from inaccurate inter-task relationship estimation under limited evaluation budgets, leading to negative transfer. This paper introduces In-Context Guidance Multitask Optimization (ICG-MTO), a novel framework that levera...

Tingyang Wei, Hao-Feng Wu, Jiao Liu et al. · 0 citations

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