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Text to model via SysML: Automated generation of dynamical system computational models from unstructured natural language text via enhanced System Modeling Language diagrams

arXiv:2507.06803v3 Announce Type: replace-cross Abstract: This paper contributes to speeding up the design and deployment of engineering dynamical systems by proposing a strategy for exploiting domain

researcharxiv-cs-ai

23 Apr 2026

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Can large language models assist choice modelling? Insights into prompting strategies and current models' capabilities

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models

Diffusion-model approach to flavor models: A case study for S_4^prime modular flavor model

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Co-Evolving Harnesses and Models: On-Policy Correction Helps Weaker Models Catch Up Where Imitation Fails

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The Effect of Emotional Context on Large Language Models' Endorsement of Premature Decisions: Comparing Emotional Vulnerability Across Six Commercial Models

Assessing the Business Process Modeling Competences of Large Language Models

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Domain-Specific Jargon in Large Language Models: A Comparative Analysis between General-Purpose and Specialist Models

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WorldReward: Reward Modeling for Camera-Conditioned World Models

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Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction

Shared SFT Lessons Across Alignment, Model Organisms, and Toy Models

Large Language Models to Enhance Business Process Modeling: Past, Present, and Future Trends

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Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc

Alternative Graph Neural Networks: Synergizing GEV Models and Deep Learning for Travel Mode Choice Modeling

Text to model via SysML: Automated generation of dynamical system computational models from unstructured natural language text via enhanced System Modeling Language diagrams

Bridging What the Model Thinks and How It Speaks: Self-Aware Speech Language Models for Expressive Speech Generation

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