To be or not to be? an exploration of continuously controllable prompt engineering

16 November 2023

Papers citing "To be or not to be? an exploration of continuously controllable prompt engineering"

7 / 7 papers shown

Title
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation Gaurav Sahu Olga Vechtomova Dzmitry Bahdanau I. Laradji VLM 55 24 0 22 Oct 2023
When to Foldém: How to answer Unanswerable questions Marshall Ho Zhipeng Zhou J. He 28 2 0 01 May 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 279 1,124 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,858 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,924 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 278 404 0 09 Apr 2018