7 citations · 10 across the 5 of their papers we have counts for
5 papers
GLM-5: from Vibe Coding to Agentic Engineering
GLM-5-Team, :, Aohan Zeng +184
We present GLM-5, a next-generation foundation model designed to transition the paradigm of vibe coding to agentic engineering. Building upon the agentic, reasoning, and coding (AR…
Semantic Direct Modeling
Qiang Zou, Shuo Liu
Current direct modeling systems limit users to low-level interactions with vertices, edges, and faces, forcing designers to manage detailed geometric elements rather than focusing…
Bringing Attention to CAD: Boundary Representation Learning via Transformer
Qiang Zou, Lizhen Zhu
The recent rise of generative artificial intelligence (AI), powered by Transformer networks, has achieved remarkable success in natural language processing, computer vision, and gr…
SplineGen: a generative model for B-spline approximation of unorganized points
Qiang Zou, Lizhen Zhu
This paper presents a learning-based method to solve the traditional parameterization and knot placement problems in B-spline approximation. Different from conventional heuristic m…
3D-PreMise: Can Large Language Models Generate 3D Shapes with Sharp Features and Parametric Control?
Zeqing Yuan, Haoxuan Lan, Qiang Zou +1
Recent advancements in implicit 3D representations and generative models have markedly propelled the field of 3D object generation forward. However, it remains a significant challe…