Tested on an Ubuntu with RTX 6000Ada.

To reproduce results and graphs:
1. Open `demo.ipynb` in VSCode or any IDE.
1. Look for INSERT_HUGGINGFACE_API_KEY_HERE, and replace it with your personal Huggingface api key.
1. Look for INSERT_GEMINI_API_KEY_HERE, and replace it with your personal Gemini api key.
1. A free account api key should be enough in the above two steps.
1. Run all cells.
1. If the machine runs out of memory, restart the kernel and re-run the cell you just ran.

After doing the above, you should get:
1. `demo.ipynb`
    * "Figure 4: Edits"
    * "Figure 5, 7, and 8: Edit detection accuracy under different edit lengths"
    * "Figure 6: Watermark Detection"
1. `15_llama_delta_comparison.pdf` = Figure 5 & 7.
1. `15_llama_delta_comparison_wm.pdf` = Figure 8.
1. `16_PPL.pdf` = Figure 6.