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mlphys101 - Exploring the performance of Large-Language Models in multilingual undergraduate physics education

Völschow, Marcel; Buczek, P.; Carreno-Mosquera, P.; Mousavias, C.; Reganova, S.; Roldan-Rodriguez, E.; Steinbach, Peter; Strube, A.

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@misc{volschow_marcel_2024_3137,
  author       = {Völschow, Marcel and
                  Buczek, P. and
                  Carreno-Mosquera, P. and
                  Mousavias, C. and
                  Reganova, S. and
                  Roldan-Rodriguez, E. and
                  Steinbach, Peter and
                  Strube, A.},
  title        = {{mlphys101 - Exploring the performance of Large- 
                   Language Models in multilingual undergraduate
                   physics education}},
  month        = sep,
  year         = 2024,
  note         = {{The dataset is available in English here only and 
                   will be removed, once the mlphys101 publication
                   was accepted and released to the public.}},
  doi          = {10.14278/rodare.3137},
  url          = {https://doi.org/10.14278/rodare.3137}
}
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Publication date:
September 9, 2024
DOI:
10.14278/rodare.3137

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Keyword(s):
machine learning deep learning large language models chatgpt blablador
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https://www.hzdr.de/publications/Publ-39561
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Version 1 10.14278/rodare.3137 Sep 9, 2024
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