57 citations · 123 across the 7 of their papers we have counts for
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cs.CL2022★ 3 cited
BBTv2: Towards a Gradient-Free Future with Large Language Models
Tianxiang Sun, Zhengfu He, Hong Qian +3
Most downstream adaptation methods tune all or part of the parameters of pre-trained models (PTMs) through gradient descent, where the tuning cost increases linearly with the growt…
cs.CL2022★ 57 cited
Black-Box Tuning for Language-Model-as-a-Service
Tianxiang Sun, Yunfan Shao, Hong Qian +2
Extremely large pre-trained language models (PTMs) such as GPT-3 are usually released as a service. It allows users to design task-specific prompts to query the PTMs through some b…