Copertina

PLLM: Pseudo-Labeling Large Language Models for CAD Program Synthesis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Yuanbo, Shu, Dule, Chen, Yanying, Klenk, Matt, Ritchie, Daniel
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning From Design Procedure To Generate CAD Programs for Data Augmentation
di: Chen, Yan-Ying, et al.
Pubblicazione: (2026)

LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
di: Nehme, Ghadi, et al.
Pubblicazione: (2025)

GeoCAD: Local Geometry-Controllable CAD Generation with Large Language Models
di: Zhang, Zhanwei, et al.
Pubblicazione: (2025)

Zero-to-CAD: Agentic Synthesis of Interpretable CAD Programs at Million-Scale Without Real Data
di: Ataei, Mohammadmehdi, et al.
Pubblicazione: (2026)

ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label Selection
di: Wang, Tao, et al.
Pubblicazione: (2024)

Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
di: Wang, Tao, et al.
Pubblicazione: (2024)

ReCAD: Reinforcement Learning Enhanced Parametric CAD Model Generation with Vision-Language Models
di: Li, Jiahao, et al.
Pubblicazione: (2025)

ControlEvents: Controllable Synthesis of Event Camera Datawith Foundational Prior from Image Diffusion Models
di: Hu, Yixuan, et al.
Pubblicazione: (2025)

CADFS: A Big CAD Program Dataset and Framework for Computer-Aided Design with Large Language Models
di: Pyatov, Vladislav, et al.
Pubblicazione: (2026)

Domain Adaptation Using Pseudo Labels
di: Chhabra, Sachin, et al.
Pubblicazione: (2024)

Boosting Box-supervised Instance Segmentation with Pseudo Depth
di: Yu, Xinyi, et al.
Pubblicazione: (2024)

From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels
di: Wang, Zhisong, et al.
Pubblicazione: (2024)

CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation
di: Li, Jiahao, et al.
Pubblicazione: (2025)

CADReview: Automatically Reviewing CAD Programs with Error Detection and Correction
di: Chen, Jiali, et al.
Pubblicazione: (2025)

Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
di: Li, Hanxi, et al.
Pubblicazione: (2024)

Learning to Place Objects with Programs and Iterative Self Training
di: Chang, Adrian, et al.
Pubblicazione: (2025)

Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
di: Wang, Haochen, et al.
Pubblicazione: (2023)

Multi-Paradigm Collaborative Adversarial Attack Against Multi-Modal Large Language Models
di: Li, Yuanbo, et al.
Pubblicazione: (2026)

Foundation Model-guided Iteratively Prompting and Pseudo-Labeling for Partially Labeled Medical Image Segmentation
di: Zhao, Qiaochu, et al.
Pubblicazione: (2026)

FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models
di: Zhang, Zhanwei, et al.
Pubblicazione: (2024)

Full-Stage Pseudo Label Quality Enhancement for Weakly-supervised Temporal Action Localization
di: Feng, Qianhan, et al.
Pubblicazione: (2024)

PHT-CAD: Efficient CAD Parametric Primitive Analysis with Progressive Hierarchical Tuning
di: Niu, Ke, et al.
Pubblicazione: (2025)

Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective
di: Li, Wangkai, et al.
Pubblicazione: (2025)

Self-Supervised Place Recognition by Refining Temporal and Featural Pseudo Labels from Panoramic Data
di: Chen, Chao, et al.
Pubblicazione: (2022)

Smooth Pseudo-Labeling
di: Karaliolios, Nikolaos, et al.
Pubblicazione: (2024)

MedFact-R1: Towards Factual Medical Reasoning via Pseudo-Label Augmentation
di: Li, Gengliang, et al.
Pubblicazione: (2025)

VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Model
di: Kim, Junsu, et al.
Pubblicazione: (2024)

VLM-CPL: Consensus Pseudo Labels from Vision-Language Models for Annotation-Free Pathological Image Classification
di: Zhong, Lanfeng, et al.
Pubblicazione: (2024)

CADTalk: An Algorithm and Benchmark for Semantic Commenting of CAD Programs
di: Yuan, Haocheng, et al.
Pubblicazione: (2023)

SSFlowNet: Semi-supervised Scene Flow Estimation On Point Clouds With Pseudo Label
di: Chen, Jingze, et al.
Pubblicazione: (2023)

Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement
di: Khan, Zaid, et al.
Pubblicazione: (2024)

Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models
di: Suo, Wei, et al.
Pubblicazione: (2024)

Semi-Supervised Hyperspectral Image Classification with Edge-Aware Superpixel Label Propagation and Adaptive Pseudo-Labeling
di: Qiu, Yunfei, et al.
Pubblicazione: (2026)

CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
di: Yuan, Yu, et al.
Pubblicazione: (2025)

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection
di: Fu, Zehua, et al.
Pubblicazione: (2025)

Img2CAD: Conditioned 3D CAD Model Generation from Single Image with Structured Visual Geometry
di: Chen, Tianrun, et al.
Pubblicazione: (2024)

Expectation Maximization Pseudo Labels
di: Xu, Moucheng, et al.
Pubblicazione: (2023)

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models
di: Fu, Mingyu, et al.
Pubblicazione: (2025)

Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification
di: Ye, Yaoqin, et al.
Pubblicazione: (2024)

A Semi-Supervised Framework for Breast Ultrasound Segmentation with Training-Free Pseudo-Label Generation and Label Refinement
di: Li, Ruili, et al.
Pubblicazione: (2026)