From Zero to Hero: Convincing with Extremely Complicated Math

Paper (arXiv) | Code

Maximilian Weiherer and Bernhard Egger
Funky-Amusing-University (FAU) Erlangen-Nürnberg

This is the official implementation of the paper "From Zero to Hero: Convincing with Extremely Complicated Math", SIGBOVIK'23.

Installation

We recommend to use Anaconda for dependency management. The following command creates an environment named 'zero2hero' on your local machine:

conda env create -f environment.yml

Activate the environment via conda activate zero2hero.

As stated multiple times in our paper, zero2hero uses a state-of-the-art, cutting-edge, next-generation large language model to turn notoriously simple math into insanely complex looking equations. In our case, it's ChatGPT. To enable command line access, we use the open-source chatgpt-wrapper. You already pip-installed this package with the above command; however, you still need to login into your OpenAI account. To do so, you can either follow the official documentation, or trust us and execute the following two steps (taken directly from the official documentation).

First, install a browser in playwright:

playwright install firefox

Second, start up the software in install mode:

chatgpt install

This opens up a browser window. Log in into ChatGPT with your OpenAI account (or sign up if you haven't sold your soul yet). Exit the program by typing /exit into the command line. That's it.

Usage

Assuming a tex file 'your_file.tex' in the root directory, simply type

python zero2hero.py <your_file>

to make your paper being accepted at the top-tier conference you're dreaming of. Please make sure to submit 'your_file_complicate.tex'!

Citation

In any case, please cite

@inproceedings{weiherer2023zero2hero,
    author = {Weiherer, Maximilian and Egger, Bernhard},
    title = {From Zero to Hero: Convincing with Extremely Complicated Math},
    booktitle = {SIGBOVIK},
    year={2023}
}

Also, if our work helps you with your research, please consider adding us to the author list.

Contact

In case you have any questions or suggestions for further improvements, please e-mail us (maximilian.weiherer@fau.de xor bernhard.egger@fau.de). We may respond!