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#artificial intelligence Preprint Sep 2026

TNLearn: An Open Source Python Package for Task-based Neurons

The brain does not rely on a single type of neuron to perform all kinds of tasks; instead, it designs different neurons for different tasks. The concept of task-based neurons represents a paradigm shift compared to task-based architectures. It argues that solving a specific problem requires customized neurons, as task-...

Meng Wang, Tie-Yun Li, Jun-Tong Fan et al. · 0 citations
Preprint Aug 2026

presto: Efficient, Training-free, and Open-world Object Placement via Imaginary Search

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.

Weixuan Ding, Shang Liu, Han-Yu Pei et al. · 0 citations

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