NL2Hull: A Natural Language-Driven Constrained Ship Design Decision Framework

Key points

• Ship-form design combines smooth geometric representation, local shape editing, and constraints on the resulting hull.1
• We construct the Ship Design Decision Dataset (SDD Dataset) with 134,558 cleaned records and evaluate compared models on its subset Ship Design Decision Benchmark (SDDBench), containing 5,000 records and 43,496 typed questions.1
• We propose Chip, a constrained ship-design decision model for processing natural-language requests.1
• The NL2Hull Framework provides a reproducible interface for evaluating language-based ship-form decisions while identifying the geometry and continuous-control components that require further development.1

Sources (1)

• [1]NL2Hull: A Natural Language-Driven Constrained Ship Design Decision Framework
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 7, 11:55 AM

  We present the Natural-Language-to-Hull Framework (NL2Hull Framework), which formulates ship-form editing as a typed discrete decision problem and connects language decisions to numerical geometry.

  Ship-form design combines smooth geometric representation, local shape editing, and constraints on the resulting hull.

Extractive summary: sentences quoted from the sources.