Researcher profile
Weng Lam Tam
1 paper in the PaperMetrix corpus
Publications
Papers by this author
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P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
2021 · arXiv (Cornell University)
Prompt tuning, which only tunes continuous prompts with a frozen language model, substantially reduces per-task storage and memory usage at training. However, in the context of NLU, prior work reveals that prompt tuning does not …