AIConfPaper
← Search

Amir Khasahmadi

3 accepted papers

2025

Aligning Constraint Generation with Design Intent in Parametric CAD

Evan Casey, Tianyu Zhang, Shu Ishida, John Roger Thompson, Amir Khasahmadi, Joseph George Lambourne +2
ICCV 2025poster

We introduce alignment techniques from reasoning large language models (LLMs) to the task of generating engineering sketch constraints in computer-aided design (CAD) models. Engineering sketches are composed of geometric primitives (such as points and lines) connected by constraints (such as perpend…

Cited by 0Source ↗PDF ↗Scholar ↗
2025

Majority of the Bests: Improving Best-of-N via Bootstrapping

Amin Rakhsha, Kanika Madan, Tianyu Zhang, Amir-massoud Farahmand, Amir Khasahmadi
NeurIPS 2025poster

Sampling multiple outputs from a Large Language Model (LLM) and selecting the most frequent (Self-consistency) or highest-scoring (Best-of-N) candidate is a popular approach to achieve higher accuracy in tasks with discrete final answers. Best-of-N (BoN) selects the output with the highest reward, a…

Cited by 0Source ↗Scholar ↗
2021

UVStyle-Net: Unsupervised Few-Shot Learning of 3D Style Similarity Measure for B-Reps

Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph Lambourne
ICCV 2021poster

Boundary Representations (B-Reps) are the industry standard in 3D Computer Aided Design/Manufacturing (CAD/CAM) and industrial design due to their fidelity in representing stylistic details. However, they have been ignored in the 3D style research. Existing 3D style metrics typically operate on mesh…

Cited by 7PDF ↗code ↗Scholar ↗