Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Nikolay Koldunov

View on Semantic Scholar

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#large language models Open access Oct 2026

FESOM2: the Fortran reference of the LLM-assisted C and C++/Kokkos ports

The two versions of the FESOM2 ocean and sea-ice model used as the Fortran reference in the paper An Ocean Model Ported by a Large Language Model: Experience and Lessons from FESOM2 (Fortran to C to C++/Kokkos), from github.com/FESOM/fesom2. fesom2-llmport-fortran-reference-9271ae92.zip: tag llmport-fortran-reference (...

Sergey D. Danilov, Dmitry Sidorenko, Patrick Scholz et al. · 0 citations
#large language models Open access Oct 2026

fesom_kokkos: a C++/Kokkos port of the FESOM2 ocean and sea-ice model for CPUs and GPUs

A performance-portable C++/Kokkos port of the ocean and sea-ice core of FESOM2: one source tree for CPUs (Kokkos Serial, OpenMP) and GPUs (CUDA, HIP). The Serial build reproduces the C port byte for byte. Code of the paper An Ocean Model Ported by a Large Language Model: Experience and Lessons from FESOM2 (Fortran to C...

Nikolay Koldunov, Sebastian Beyer · 0 citations
#large language models Open access Sep 2026

Climate Knowledge in Large Language Models

This evaluation framework provides a reproducible benchmark for quantifying parametric climate knowledge in LLMs, and shows that LLMs reproduce broad geographic regularities in climatological temperature fields, capturing latitudinal and topographic patterns.

Ivan S. Kuznetsov, Jacopo Grassi, Dmitrii Pantiukhin et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.