Neural Interactive Proofs Documentation#
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This is the documentation of the experiments for the ICLR 2025 paper “Neural Interactive Proofs” [HAD25]. The source code is available on GitHub at SamAdamDay/neural-interactive-proofs.
The codebase is designed to be easy to use and extend. The guides section contains tutorials on how to use the codebase, and the reference section contains a comprehensive API reference.
Quickstart#
To get experiments running fast, follow the steps below:
Install the package by following the installation instructions. Alternatively, build and run a Docker container by following the Docker instructions.
Create an experiment script by following the guide to running experiments. A basic example is:
from nip import HyperParameters, run_experiment hyper_params = HyperParameters( scenario="code_validation", trainer="pure_text_ei", dataset="lrhammond/buggy-apps", interaction_protocol="nip", ) run_experiment(hyper_params)
Contents#
Citation#
@inproceedings{neural_interactive_proofs,
author = {Lewis Hammond and Sam Adam-Day},
title = {Neural Interactive Proofs},
booktitle = {The Thirteenth International Conference on Learning Representations (ICLR)},
year = {2025},
eprint={2412.08897},
archivePrefix={arXiv},
primaryClass={cs.AI},
}