Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI
- DOI
- 10.48550/arxiv.2507.14172
- Published
- 2025
- Container
- Proceedings of Machine Learning Research
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2507.14172,
title = {Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI},
author = {Pourcel, Julien and Colas, Cédric and Oudeyer, Pierre-Yves},
year = {2025},
journal = {Proceedings of Machine Learning Research},
doi = {10.48550/arxiv.2507.14172},
url = {https://doi.org/10.48550/arxiv.2507.14172}
}RIS
TY - JOUR TI - Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI AU - Pourcel, Julien AU - Colas, Cédric AU - Oudeyer, Pierre-Yves PY - 2025 JO - Proceedings of Machine Learning Research DO - 10.48550/arxiv.2507.14172 UR - https://doi.org/10.48550/arxiv.2507.14172 ER -
APA
Julien, P., Cédric, C., & Pierre-Yves, O. (2025). Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI. Proceedings of Machine Learning Research. https://doi.org/10.48550/arxiv.2507.14172