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@@ -133,15 +133,14 @@ model = SetFitModel.from_pretrained("automatedMotiveCoder/setfit",
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  ### BibTeX
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  ```bibtex
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- @article{https://doi.org/10.48550/arxiv.2209.11055,
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- doi = {10.48550/ARXIV.2209.11055},
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- url = {https://arxiv.org/abs/2209.11055},
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- author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
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- keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
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- title = {Efficient Few-Shot Learning Without Prompts},
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- publisher = {arXiv},
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- year = {2022},
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- copyright = {Creative Commons Attribution 4.0 International}
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  }
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  ```
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  ### BibTeX
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  ```bibtex
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+ @misc{brede_schönbrodt_hagemeyer_lerche_2025,
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+ title={Automatically Coding Implicit Motives in Picture Story Exercises: The Automated Motive Coder},
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+ url={osf.io/preprints/psyarxiv/gqbhs_v1},
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+ DOI={10.31234/osf.io/gqbhs_v1},
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+ publisher={PsyArXiv},
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+ author={Brede, Max and Schönbrodt, Felix D and Hagemeyer, Birk and Lerche, Veronika},
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+ year={2025},
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+ month={May}
 
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  }
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  ```
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