most citedLlama 2: Open Foundation and Fine-Tuned Chat Models

2.7k citations · 2.7k across the 3 of their papers we have counts for

collaborators

1 paper

cs.CL2023

Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization

Anastasia Razdaibiedina, Yuning Mao, Rui Hou +4

Prompt tuning is one of the successful approaches for parameter-efficient tuning of pre-trained language models. Despite being arguably the most parameter-efficient (tuned soft pro…