Author

Tianyidan Xie

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#artificial intelligence Apr 2026

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. · arXiv.org · 7 citations · ⚡2

#artificial intelligence Preprint Sep 2026

Linguistic Trajectory Encoding for Efficient Long-Horizon Spatial Memory in Embodied Agents

Linguistic Trajectory Encoding (LTE) is introduced, which compresses dynamic object motion histories via a hybrid representation combining natural language descriptions, sparse spatial anchors, and visual anchors, and adapts compression to motion complexity by anchoring periods without reliable observations to the last...

Tianyidan Xie, Shen-Yi Wang, Qiang Tang et al. · 0 citations