Journal article
EMNLP 2024, https://arxiv.org/pdf/2305.15065.pdf
APA
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Lu, X., Brahman, F., West, P., Jang, J., Chandu, K. R., Ravichander, A., … Choi., Y. Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. EMNLP 2024, https://arxiv.org/pdf/2305.15065.pdf.
Chicago/Turabian
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Lu, Ximing, Faeze Brahman, Peter West, Jaehun Jang, Khyathi Raghavi Chandu, Abhilasha Ravichander, Lianhui Qin, et al. “Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-Tuning.” EMNLP 2024 https://arxiv.org/pdf/2305.15065.pdf (n.d.).
MLA
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Lu, Ximing, et al. “Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-Tuning.” EMNLP 2024, vol. https://arxiv.org/pdf/2305.15065.pdf.
BibTeX Click to copy
@article{ximing-a,
title = {Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.},
journal = {EMNLP 2024},
volume = {https://arxiv.org/pdf/2305.15065.pdf},
author = {Lu, Ximing and Brahman, Faeze and West, Peter and Jang, Jaehun and Chandu, Khyathi Raghavi and Ravichander, Abhilasha and Qin, Lianhui and Ammanabrolu, Prithviraj and Jiang, Liwei and Ramnath, Sahana and Dziri, Nouha and Fisher, Jillian and Lin, Bill Yuchen and Hallinan, Skyler and Ren, Xiang and Welleck, Sean and Choi., Yejin},
howpublished = {}
}