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TNLearn, an open-source Python package that provides automated construction of task-based neurons and networks, enabling smooth training of task-based networks, is introduced.
This work reformulates open-world object placement as a heuristic search task guided by reasoning from a Multimodal Large Language Model (MLLM), and introduces Presto, a zero-shot, training-free framework that operates within an imaginary action space to iteratively refine object position and scale.
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