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SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts.
Joon-Young Choi
Junho Kim
Jun-Hyung Park
Wing-Lam Mok
SangKeun Lee
Published in:
EMNLP (2023)
Keyphrases
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cost effective
highly efficient
mental models
neural network
compressed sensing
probability distribution
high quality
language model
mixture model
computationally efficient
sparse representation
gaussian mixture model
computationally expensive
case study
computer vision
sparse data
database