Author

Jiao Liu

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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

Experiments across synthetic benchmarks and a real-world robot arm control problem, together with evaluations under different acquisition functions and evolutionary multitasking, demonstrate the effectiveness and generality of ICG-MTO for few-shot multitask optimization.

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

#artificial intelligence Preprint Sep 2026

Solving Few-Shot Multiobjective Multitask Optimization via Iterative Sequential Transfer

Applying knowledge transfer across multiple optimization tasks, multitask optimization (MTO) emerges as a promising approach to solving synergistic optimization tasks simultaneously. However, the development of effective knowledge transfer mechanisms in MTO fundamentally relies on aligning elite solution distributions...

Tingyang Wei, Hao-Feng Wu, Ananda Phan Iman et al. · 0 citations