A Multi-Stage Hybrid Framework for Automated Interpretation of Multi-View Engineering Drawings Using Vision Language Model
Fuente:
arXiv
Saved in:
| Main Authors: | Khan, Muhammad Tayyab, Yong, Zane, Chen, Lequn, Feng, Wenhe, Tan, Nicholas Yew Jin, Moon, Seung Ki |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Drawings to Decisions: A Hybrid Vision-Language Framework for Parsing 2D Engineering Drawings into Structured Manufacturing Knowledge
by: Khan, Muhammad Tayyab, et al.
Published: (2025)
by: Khan, Muhammad Tayyab, et al.
Published: (2025)
Leveraging Vision-Language Models for Manufacturing Feature Recognition in CAD Designs
by: Khan, Muhammad Tayyab, et al.
Published: (2024)
by: Khan, Muhammad Tayyab, et al.
Published: (2024)
Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction
by: Khan, Muhammad Tayyab, et al.
Published: (2024)
by: Khan, Muhammad Tayyab, et al.
Published: (2024)
Large Language Model Powered Decision Support for a Metal Additive Manufacturing Knowledge Graph
by: Khan, Muhammad Tayyab, et al.
Published: (2025)
by: Khan, Muhammad Tayyab, et al.
Published: (2025)
Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer
by: Khan, Muhammad Tayyab, et al.
Published: (2025)
by: Khan, Muhammad Tayyab, et al.
Published: (2025)
Context-Aware Mapping of 2D Drawing Annotations to 3D CAD Features Using LLM-Assisted Reasoning for Manufacturing Automation
by: Khan, Muhammad Tayyab, et al.
Published: (2026)
by: Khan, Muhammad Tayyab, et al.
Published: (2026)
Automatic Feature Recognition and Dimensional Attributes Extraction From CAD Models for Hybrid Additive-Subtractive Manufacturing
by: Khan, Muhammad Tayyab, et al.
Published: (2024)
by: Khan, Muhammad Tayyab, et al.
Published: (2024)
Multi-Stage Field Extraction of Financial Documents with OCR and Compact Vision-Language Models
by: Jin, Yichao, et al.
Published: (2025)
by: Jin, Yichao, et al.
Published: (2025)
A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals
by: Sun, Zhu, et al.
Published: (2022)
by: Sun, Zhu, et al.
Published: (2022)
Multimodal sensor fusion for real-time location-dependent defect detection in laser-directed energy deposition
by: Chen, Lequn, et al.
Published: (2023)
by: Chen, Lequn, et al.
Published: (2023)
Multi-Stage Verification-Centric Framework for Mitigating Hallucination in Multi-Modal RAG
by: Chen, Baiyu, et al.
Published: (2025)
by: Chen, Baiyu, et al.
Published: (2025)
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems
by: Zheng, Kai, et al.
Published: (2024)
by: Zheng, Kai, et al.
Published: (2024)
A Hybrid Architecture for Multi-Stage Claim Document Understanding: Combining Vision-Language Models and Machine Learning for Real-Time Processing
by: Cheng, Lilu, et al.
Published: (2026)
by: Cheng, Lilu, et al.
Published: (2026)
T-REX: Transformer-Based Category Sequence Generation for Grocery Basket Recommendation
by: Mokhtari, Soroush, et al.
Published: (2026)
by: Mokhtari, Soroush, et al.
Published: (2026)
Contrastive Multi-View Graph Hashing
by: Xu, Yang, et al.
Published: (2025)
by: Xu, Yang, et al.
Published: (2025)
Single-Turn LLM Reformulation Powered Multi-Stage Hybrid Re-Ranking for Tip-of-the-Tongue Known-Item Retrieval
by: Mukhopadhyay, Debayan, et al.
Published: (2026)
by: Mukhopadhyay, Debayan, et al.
Published: (2026)
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
by: Yang, Chaohua, et al.
Published: (2025)
by: Yang, Chaohua, et al.
Published: (2025)
ReSearch: A Multi-Stage Machine Learning Framework for Earth Science Data Discovery
by: Sun, Youran, et al.
Published: (2026)
by: Sun, Youran, et al.
Published: (2026)
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning
by: Feng, Jiadong, et al.
Published: (2024)
by: Feng, Jiadong, et al.
Published: (2024)
GraphRunner: A Multi-Stage Framework for Efficient and Accurate Graph-Based Retrieval
by: Kashmira, Savini, et al.
Published: (2025)
by: Kashmira, Savini, et al.
Published: (2025)
LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation
by: Qiao, Shutong, et al.
Published: (2024)
by: Qiao, Shutong, et al.
Published: (2024)
ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring
by: Huang, Kaili, et al.
Published: (2025)
by: Huang, Kaili, et al.
Published: (2025)
Hierarchical Multi-field Representations for Two-Stage E-commerce Retrieval
by: Freymuth, Niklas, et al.
Published: (2025)
by: Freymuth, Niklas, et al.
Published: (2025)
HyMiRec: A Hybrid Multi-interest Learning Framework for LLM-based Sequential Recommendation
by: Zhou, Jingyi, et al.
Published: (2025)
by: Zhou, Jingyi, et al.
Published: (2025)
Relevance Matters: A Multi-Task and Multi-Stage Large Language Model Approach for E-commerce Query Rewriting
by: Dai, Aijun, et al.
Published: (2026)
by: Dai, Aijun, et al.
Published: (2026)
LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation
by: Chu, Zhixuan, et al.
Published: (2024)
by: Chu, Zhixuan, et al.
Published: (2024)
MRGSEM-Sum: An Unsupervised Multi-document Summarization Framework based on Multi-Relational Graphs and Structural Entropy Minimization
by: Zhang, Yongbing, et al.
Published: (2025)
by: Zhang, Yongbing, et al.
Published: (2025)
ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation
by: Zhou, Xiaofan, et al.
Published: (2026)
by: Zhou, Xiaofan, et al.
Published: (2026)
Bidding-Aware Retrieval for Multi-Stage Consistency in Online Advertising
by: Liu, Bin, et al.
Published: (2025)
by: Liu, Bin, et al.
Published: (2025)
BLUEPRINT Rebuilding a Legacy: Multimodal Retrieval for Complex Engineering Drawings and Documents
by: Seefried, Ethan, et al.
Published: (2026)
by: Seefried, Ethan, et al.
Published: (2026)
UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution
by: Zhang, Gengrui, et al.
Published: (2024)
by: Zhang, Gengrui, et al.
Published: (2024)
Optimizing Retrieval Components for a Shared Backbone via Component-Wise Multi-Stage Training
by: Li, Yunhan, et al.
Published: (2026)
by: Li, Yunhan, et al.
Published: (2026)
WSDM Cup 2026 Multilingual Retrieval: A Low-Cost Multi-Stage Retrieval Pipeline
by: Hao, Chentong, et al.
Published: (2026)
by: Hao, Chentong, et al.
Published: (2026)
LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification
by: Liu, Junhua, et al.
Published: (2024)
by: Liu, Junhua, et al.
Published: (2024)
Caraman at SemEval-2026 Task 8: Three-Stage Multi-Turn Retrieval with Query Rewriting, Hybrid Search, and Cross-Encoder Reranking
by: Caraman, David-Maximilian, et al.
Published: (2026)
by: Caraman, David-Maximilian, et al.
Published: (2026)
M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation
by: He, Chuan, et al.
Published: (2025)
by: He, Chuan, et al.
Published: (2025)
DIVER: A Multi-Stage Approach for Reasoning-intensive Information Retrieval
by: Sun, Duolin, et al.
Published: (2025)
by: Sun, Duolin, et al.
Published: (2025)
MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation
by: Malviya, Yash, et al.
Published: (2024)
by: Malviya, Yash, et al.
Published: (2024)
Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation
by: Zhang, Hengyu, et al.
Published: (2025)
by: Zhang, Hengyu, et al.
Published: (2025)
A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization
by: Tan, Shiyin, et al.
Published: (2025)
by: Tan, Shiyin, et al.
Published: (2025)
Similar Items
-
From Drawings to Decisions: A Hybrid Vision-Language Framework for Parsing 2D Engineering Drawings into Structured Manufacturing Knowledge
by: Khan, Muhammad Tayyab, et al.
Published: (2025) -
Leveraging Vision-Language Models for Manufacturing Feature Recognition in CAD Designs
by: Khan, Muhammad Tayyab, et al.
Published: (2024) -
Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction
by: Khan, Muhammad Tayyab, et al.
Published: (2024) -
Large Language Model Powered Decision Support for a Metal Additive Manufacturing Knowledge Graph
by: Khan, Muhammad Tayyab, et al.
Published: (2025) -
Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer
by: Khan, Muhammad Tayyab, et al.
Published: (2025)