% arXiv citations. @misc{paw_1511_06279, title = { {Neural Programmer-Interpreters} }, author = {Reed, Scott and de Freitas, Nando}, year = {2015}, note = {arXiv preprint}, eprint = {1511.06279}, archivePrefix = {arXiv}, url = {https://arxiv.org/abs/1511.06279} } @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_00190, title = { {Prefix-Tuning: Optimizing Continuous Prompts for Generation} }, author = {Li, Xiang Lisa and Liang, Percy}, year = {2021}, note = {arXiv preprint}, eprint = {2101.00190}, archivePrefix = {arXiv}, url = {https://arxiv.org/abs/2101.00190} } @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_2106_09685, title = { {LoRA: Low-Rank Adaptation of Large Language Models} }, author = {Hu, Edward J. and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu}, year = {2021}, note = {arXiv preprint}, eprint = {2106.09685}, archivePrefix = {arXiv}, url = {https://arxiv.org/abs/2106.09685} } @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} } @misc{paw_2304_08467, title = { {Learning to Compress Prompts with Gist Tokens} }, author = {Mu, Jesse and Li, Xiang Lisa and Goodman, Noah}, year = {2023}, note = {arXiv preprint}, eprint = {2304.08467}, archivePrefix = {arXiv}, url = {https://arxiv.org/abs/2304.08467} } @misc{paw_2407_11004, title = { {The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators} }, author = {Huang, Tzu-Heng and Cao, Catherine and Bhargava, Vaishnavi and Sala, Frederic}, year = {2024}, note = {arXiv preprint}, eprint = {2407.11004}, archivePrefix = {arXiv}, url = {https://arxiv.org/abs/2407.11004} } @misc{paw_2411_05877, title = { {Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass} }, author = {Chen, Tong and Fang, Hao and Xia, Patrick and Liu, Xiaodong and Van Durme, Benjamin and Zettlemoyer, Luke and Gao, Jianfeng and Cheng, Hao}, year = {2024}, note = {arXiv preprint}, eprint = {2411.05877}, archivePrefix = {arXiv}, url = {https://arxiv.org/abs/2411.05877} } @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_2607_02512, 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}, note = {arXiv preprint}, eprint = {2607.02512}, archivePrefix = {arXiv}, url = {https://arxiv.org/abs/2607.02512} } @misc{paw_2609_04199, title = { {Compile by Training: Turning Natural-Language Specifications into Local Neural Functions} }, author = {Deng, Yuntian and Nie, Pengyu and Shieber, Stuart}, year = {2026}, note = {arXiv preprint}, eprint = {2609.04199}, archivePrefix = {arXiv}, url = {https://arxiv.org/abs/2609.04199} }