OmniLayout, the first benchmark designed to evaluate LLMs on printed-circuit-board (PCB) layout placement reasoning under real-world geometric, routing, and connectivity constraints, reveals substantial limitations of current LLMs in PCB layout placement, including weak geometric reasoning, poor routability optimization, and inconsistent preservation of electrical functionality.
Abstract
Recent large language models (LLMs) have demonstrated remarkable progress in 3D spatial reasoning, spatial grounding, and fine-grained geometric understanding. However, their ability to reason about densely packed object placement under strict spatial and functional constraints remains largely unexplored, despite being a fundamental challenge in practical electronic design automation (EDA) workflows. To bridge this gap, we introduce OmniLayout, the first benchmark designed to evaluate LLMs on printed-circuit-board (PCB) layout placement reasoning under real-world geometric, routing, and connectivity constraints. OmniLayout contains 1,681 industrial-grade schematic-coupled PCB layouts and includes four tasks: (1) geometric reasoning for IC physical placement, with 77.24K placement instances constrained within PCB board boundaries; (2) routability-aware placement reasoning, generating physically valid component placements; (3) electrical functionality, preserving schematic-specified connectivity and electronic functional correctness; and (4) tool-augmented agentic reasoning for invoking external tools to accomplish tasks (1)-(3). Our results reveal substantial limitations of current LLMs in PCB layout placement, including weak geometric reasoning, poor routability optimization, and inconsistent preservation of electrical functionality.
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.
Tai-Ting Lu, Kai-Yuan Lin, Zi-Wei Dong et al.· 0 citations
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
The results show that the approach attains the highest perceptual plausibility while maintaining good geometric compliance at relatively low latency, and extends to irregular boundaries that existing methods do not natively support.
Yu-Tong Jiang, Zahra Atashgahi, Carlos Soto Garcia Delgado et al.· 0 citations
Agentic Designer is proposed, a progressive, multi-agent framework that formulates structure-aware interior layout generation as an iterative and constraint-verified decision process and significantly outperforms state-of-the-art methods, demonstrating substantial improvements in strict structural adherence and functio...
Zhijing Yang, Hao-Cheng Lin, Zhihua Xu et al.· IEEE Transactions on Pattern...· 1 citation
This work presents a graph-based intermediate representation that separates semantic coherence from physical feasibility, together with a hybrid search-and-refinement strategy that moves layout generation beyond local relational modeling and initialization-sensitive optimization toward globally consistent reasoning and...
Jia-Lu Huang, Yingxuan You, Fei Wang et al.· 0 citations
PolarSym is proposed, a polar-coordinate geometry-aware attention framework for CAD plan parsing that improves the geometric awareness of Transformers at low computational cost, offering an effective geometric modeling paradigm for CAD plan parsing.
Kerui Chen, Yi-Qing Wang, Kangzhou Xin et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.