2022 PTuningV2PromptTuningCanBeCompa
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- (Liu, Ji et al., 2022) ⇒ Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Lam Tam, Zhengxiao Du, Zhilin Yang, and Jie Tang. (2022). “P-tuning V2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.” In: Proceedings of the 60th Annual Meeting of the Association of Computational Linguistics, 2022. doi:10.48550/arXiv.2110.07602
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- Also as (Liu, Ji et al., 2021) ⇒ “P-tuning V2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.” arXiv preprint arXiv:2110.07602. doi:10.48550/arXiv.2110.07602
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2022 PTuningV2PromptTuningCanBeCompa | Jie Tang Zhilin Yang Xiao Liu Kaixuan Ji Yicheng Fu Zhengxiao Du Weng Lam Tam | P-tuning V2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks | 10.48550/arXiv.2110.07602 | 2022 |