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Supplementary material for the paper "Conditional and Modal Reasoning in Large Language Models" by Wesley H. Holliday, Matthew Mandelkern, and Cedegao E. Zhang

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llm-logic

Supplementary Material for "Conditional and Modal Reasoning in Large Language Models"

Paper by Wesley H. Holliday ([email protected]), Matthew Mandelkern ([email protected]), and Cedegao E. Zhang ([email protected]) available at https://arxiv.org/abs/2401.17169.

Inhalt

  • llm-logic.ipynb: The Jupyter notebook containing all the code used to run the experiments and generate the graphs presented in the paper.

  • prompts/: Includes all of the inference pattern questions used in the experiments.

  • data/: Stores the LLM responses to the inference pattern questions.

  • external_data/: Stores the LMSYS Elo ratings for the tested models

  • graphs/ and results/: These directories are generated upon running the "llm-logic" notebook and contain the graphs and results of experiments, respectively.

Usage

To replicate the experiments or explore the results, open and run the "llm-logic.ipynb" Jupyter notebook.

Kontakt

For any queries related to the paper or the supplementary material, please write to [email protected].

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Supplementary material for the paper "Conditional and Modal Reasoning in Large Language Models" by Wesley H. Holliday, Matthew Mandelkern, and Cedegao E. Zhang

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