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ID: discreteprompts
Related Papers
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
AbstractPrompting has shown impressive success in enabling large pre-trained language models (LMs) to perform diverse NLP tasks, especially with only few downstream data. Automatically finding the optimal prompt for each …...
A Practical Survey on Zero-Shot Prompt Design for In-Context Learning
AbstractThe remarkable advancements in large language models (LLMs) have brought about significant improvements in Natural Language Processing(NLP) tasks. This paper presents a comprehensive review of in-context learning techniques, focusing on …...
Evaluating the Robustness of Discrete Prompts
AbstractDiscrete prompts have been used for fine-tuning Pre-trained Language Models for diverse NLP tasks. In particular, automatic methods that generate discrete prompts from a small set of training instances have …...