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RCR Report for the Paper : “Using (Not-so) Large Language Models to Generate Simulation Models in a Formal DSL: A Study on Reaction Networks”

Federica Montesano

ACM Transactions on Modeling and Computer Simulation2025https://doi.org/10.1145/3766897article
AJG 3ABDC B
Weight
0.50

What the paper says

The artifact evaluated in this report is relevant to the article “Using (Not-so) Large Language Models to Generate Simulation Models in a Formal DSL: A Study on Reaction Networks”. The authors provided the code residing on a permanent repository, the instructions for building and executing the artifact are well-documented, as well as the dependencies needed and possible issues encountered during the reproducibility process. The process of running the experiments and generating data, plots, and table terminates correctly. The results could be reproduced. The article receives the badges Artifacts Available , Artifacts Evaluated—Reusable and Results Validated—Results Reproduced .

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Cite this paper

https://doi.org/https://doi.org/10.1145/3766897

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@article{federica2025,
  title        = {{RCR Report for the Paper : “Using (Not-so) Large Language Models to Generate Simulation Models in a Formal DSL: A Study on Reaction Networks”}},
  author       = {Federica Montesano},
  journal      = {ACM Transactions on Modeling and Computer Simulation},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1145/3766897},
}

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RCR Report for the Paper : “Using (Not-so) Large Language Models to Generate Simulation Models in a Formal DSL: A Study on Reaction Networks”

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.