@misc{paw_1609_09106,
  title = { {HyperNetworks} },
  author = {Ha, David and Dai, Andrew and Le, Quoc V.},
  year = {2016},
  note = {arXiv preprint},
  eprint = {1609.09106},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/1609.09106}
}

@misc{paw_2101_00420,
  title = { {Learning to Generate Task-Specific Adapters from Task Description} },
  author = {Ye, Qinyuan and Ren, Xiang},
  year = {2021},
  note = {arXiv preprint},
  eprint = {2101.00420},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2101.00420}
}

@misc{paw_2211_12485,
  title = { {HyperTuning: Toward Adapting Large Language Models without Back-propagation} },
  author = {Phang, Jason and Mao, Yi and He, Pengcheng and Chen, Weizhu},
  year = {2022},
  note = {arXiv preprint},
  eprint = {2211.12485},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2211.12485}
}

@misc{paw_2212_10315,
  title = { {HINT: Hypernetwork Instruction Tuning for Efficient Zero- \& Few-Shot Generalisation} },
  author = {Ivison, Hamish and Bhagia, Akshita and Wang, Yizhong and Hajishirzi, Hannaneh and Peters, Matthew},
  year = {2022},
  note = {arXiv preprint},
  eprint = {2212.10315},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2212.10315}
}

@inproceedings{NEURIPS2023_771155ab,
 author = {Lindner, David and Kramár, János and Farquhar, Sebastian and Rahtz, Matthew and McGrath, Thomas and Mikulik, Vladimir},
 booktitle = {Advances in Neural Information Processing Systems},
 doi = {10.52202/075280-1649},
 editor = {A. Oh and T. Naumann and A. Globerson and K. Saenko and M. Hardt and S. Levine},
 pages = {37876--37899},
 publisher = {Curran Associates, Inc.},
 title = {Tracr: Compiled Transformers as a Laboratory for Interpretability},
 url = {https://arxiv.org/abs/2301.05062},
 volume = {36},
 year = {2023}
}

@misc{paw_2506_06105,
  title = { {Text-to-LoRA: Instant Transformer Adaption} },
  author = {Charakorn, Rujikorn and Cetin, Edoardo and Tang, Yujin and Lange, Robert Tjarko},
  year = {2025},
  note = {arXiv preprint},
  eprint = {2506.06105},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2506.06105}
}

@misc{paw_2606_06492,
  title = { {Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution} },
  author = {Hotsko, Liliana and Li, Yinxi and Deng, Yuntian and Nie, Pengyu},
  year = {2026},
  note = {arXiv preprint},
  eprint = {2606.06492},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.06492}
}

@inproceedings{zhang2026programasweights,
  title = { {Program-as-Weights: A Programming Paradigm for Fuzzy Functions} },
  author = {Zhang, Wentao and Hotsko, Liliana and Kim, Woojeong and Nie, Pengyu and Shieber, Stuart and Deng, Yuntian},
  year = {2026},
  booktitle = {The Fortieth Annual Conference on Neural Information Processing Systems},
  url = {https://arxiv.org/abs/2607.02512}
}

@inproceedings{deng-etal-2026-compile,
  title = { {Compile by Training: Turning Natural-Language Specifications into Local Neural Functions} },
  author = {Deng, Yuntian and Nie, Pengyu and Shieber, Stuart},
  year = {2026},
  booktitle = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
  publisher = {Association for Computational Linguistics},
  pages = {830--839},
  doi = {10.18653/2026.emnlp-demos.78},
  month = {October},
  address = {Budapest, Hungary},
  isbn = {979-8-89176-461-3},
  editor = {Agrawal, Sweta and Abad, Alberto},
  url = {https://aclanthology.org/2026.emnlp-demos.78/}
}

@misc{takehi2026weightspace,
  title = { {Sparks of Weight-Space Programming: LLMs can natively read \& write neural network weights} },
  author = {Takehi, Rikiya and Teoh, Jayden and Zhang, Alex and Khattab, Omar},
  year = {2026},
  month = nov,
  howpublished = {Blog post},
  url = {https://rikiyat.github.io/blog/weight-space-programming/}
}

@misc{singh2026weightspace,
  title = { {Weight-Space Programming from scratch on simple tasks} },
  author = {Singh, Chandan},
  year = {2026},
  month = nov,
  howpublished = {Blog post},
  url = {https://csinva.io/weight-space-programming-autoresearch/analyze/toy_examples/report.html}
}

@misc{hu2026exploringwsp,
  title = { {Exploring Weight-Space Programming: Capabilities, Generalization, and Limitations} },
  author = {Hu, Junru and Tang, Cheng and Li, Wei and Zhu, Hongze and Feng, Chun-Mei and Zhang, Qi and Chen, Yirong and Hu, Ming},
  year = {2026},
  eprint = {2611.09382},
  archivePrefix = {arXiv},
  primaryClass = {cs.AI},
  url = {https://arxiv.org/abs/2611.09382}
}