arXiv Machine Learning June 9, 2026 By Gabriel Vogel, Lukas Schulze Balhorn, Artur M. Schweidtmann

Learning from flowsheets: A generative transformer model for autocompletion of flowsheets

Read the original on arXiv Machine Learning →

arXiv:2208. 00859v2 Announce Type: replace Abstract: We propose a novel method enabling autocompletion of chemical flowsheets.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv AI

Jun 9

Toward autocorrection of chemical process flowsheets using large language models

arXiv:2312. 02873v2 Announce Type: replace-cross Abstract: The process engineering domain widely uses Process Flow Diagrams (PFDs) and Process and Instrumentation Diagrams (P&IDs) to represent process flows and equipment configurations.

By Lukas Schulze Balhorn, Marc Caballero, Artur M. Schweidtmann

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arXiv AI

Jun 2

Prototype Transformer: Towards Language Model Architectures Interpretable by Design

arXiv:2602. 11852v2 Announce Type: replace Abstract: While state-of-the-art language models (LMs) surpass most humans in certain domains, their reasoning remains largely opaque, reducing trust and increasing the risk of deception and hallucination.

By Yordan Yordanov, Matteo Forasassi, Bayar Menzat, Ruizhi Wang, Chang Qi, Markus Kaltenberger, Amine M'Charrak, Tommaso Salvatori, Thomas Lukasiewicz

llms benchmarks safety

arXiv AI

Aug 11

Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation

arXiv:2408. 04619v2 Announce Type: replace-cross Abstract: The Transformer architecture underpins modern large language models powering state-of-the-art text generation and AI applications.

By Aeree Cho, Grace C. Kim, Alexander Karpekov, Seongmin Lee, Alec Helbling, Benjamin Hoover, Zijie J. Wang, Minsuk Kahng, Duen Horng Chau

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arXiv AI

Jun 9

Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence

arXiv:2412. 00508v2 Announce Type: replace-cross Abstract: Control structure design is an important but tedious step in P&ID development.

By Lukas Schulze Balhorn, Kevin Degens, Artur M. Schweidtmann

arXiv Machine Learning

Aug 3

Simulation Code Generation for Fluid Systems using Large Language Models: Benchmarking Models and Prompting Strategies

arXiv:2607. 29389v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated a strong ability to generate syntactically correct code from natural-language specifications.

By Jan Marius St\"urmer, Jascha Knack, Tobias Koch, Andreas Weinmann

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arXiv Machine Learning

Jun 9

SFILES 2.0: An extended text-based flowsheet representation

arXiv:2208. 00778v2 Announce Type: replace-cross Abstract: SFILES are a text-based notation for chemical process flowsheets.

By Gabriel Vogel, Edwin Hirtreiter, Lukas Schulze Balhorn, Artur M. Schweidtmann

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Toward autocorrection of chemical process flowsheets using large language models

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