Author

Zhengxin Zhang

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#machine learning Preprint Sep 2026

Compute Time Scaling with Recursive Models for Combinatorial Optimization

We propose Tiny Recursive Models for Combinatorial Optimization (\ours{}), a general neural method for combinatorial optimization that scales both depth (how often we recursively invoke our network) and width (how much we sample in parallel). Both are fundamental for combinatorial optimization: hard instances demand a...

Zheng-Xin Zhang, P. Swoboda · 0 citations

Jul 2026

MANTA: Multi-Agent Network Topology Adaptation for Self-Evolving Multi-Agent Systems

MANTA, a framework for Multi-Agent Network Topology Adaptation that enables communication structures to self-evolve at inference time, is introduced and shows that inference-time self-improvement can extend to the architecture of collaboration itself.

Mao-Xun Huang, Jerry Wang, Yi-Cheng Lai et al. · arXiv.org · 0 citations