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Author

Yuxuan Wang

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#machine learning Preprint Oct 2026

Being-M0.7: A Latent World-Action Model for Humanoid Robots

Humanoid loco-manipulation requires coordinated locomotion and manipulation informed by future scene evolution and whole-body motion, yet learning these capabilities is constrained by scarce robot demonstrations. Human video and motion datasets offer scalable supervision, but many contain only video or motion rather th...

Jun-Peng Yue, Bo-Yuan Li, Yuxuan Wang et al. · 0 citations

PhysCodeBench: Benchmarking Physics-Aware Symbolic Simulation of 3D Scenes via Self-Corrective Multi-Agent Refinement

The Self-Corrective Multi-Agent Refinement Framework is proposed, which decouples physics-aware error correction from code generation through specialized agents and nearly triples the physical-assertion pass rate of the best proprietary baseline and retains its advantage under cross-engine transfer.

Tianyidan Xie, Pei-Yu Wang, Jia-Xin Hu et al. · 7 citations · ⚡2

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