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#artificial intelligence Preprint Sep 2026

OmniFysics-Nano-V2 Technical Report: Understanding the Physical World Across Modalities

Omni-modal models have expanded multimodal interaction across vision, audio, speech, and language. However, their training is predominantly organized around semantic descriptions and general-purpose objectives, leaving physical attributes, interaction states, and causal mechanisms only partially specified. This gap is...

Yi-Zhou Liu, Jing-Hang Han, Kai Qiu et al. · 0 citations
Preprint Aug 2026

OmniRouting: A Semantic-Coupled Multimodal Benchmark for Constraint-Aware Spatial Reasoning in PCB Routing

OmniRouting is the first large-scale benchmark designed to evaluate LLMs on printed-circuit-board (PCB) routing reasoning under real-world industrial design-rule, manufacturability, and connectivity constraints, and reveals substantial limitations of current LMMs in PCB routing.

Taiting Lu, Kaiyuan Lin, Ziwei Dong et al. · 0 citations
Preprint Aug 2026

OmniCAD: A Large-Scale Benchmark for 3D Spatial Reasoning in Robotics Assemblies

OmniCAD is introduced, a large-scale benchmark for assembly-aware 3D spatial reasoning across diverse industrial systems, including robotic mechanisms, automotive components, aerospace structures, and agricultural machinery, and tool-augmented agentic reasoning.

Mingjia Wang, Tai-Ting Lu, Zi-Wei Dong et al. · 1 citation
Preprint Aug 2026

OmniMech: All-in-one Multimodal Mechanical Benchmark for 3D Reconstruction

OmniMech is introduced, the first million-scale benchmark for evaluating VLMs on executable CAD generation from industrial manufacturing data, and experiments show that current VLMs and CAD-specialized models still struggle with executable program synthesis, fine-grained 3D reconstruction, and reliable enforcement of d...

Tai-Ting Lu, Run-Ze Liu, Zi-Wei Dong et al. · 0 citations

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