From 3654b04c34d811ecf7f4564da3fe4b12a7b9ea2e Mon Sep 17 00:00:00 2001 From: Elvis Saravia Date: Fri, 20 Jan 2023 23:03:12 -0600 Subject: [PATCH] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 1673647..2daf80a 100644 --- a/README.md +++ b/README.md @@ -29,6 +29,7 @@ This guide contains a non-exhaustive set of learning guides and tools about prom - [AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts](https://arxiv.org/abs/2010.15980) - [Large Language Models Are Human-Level Prompt Engineers](https://sites.google.com/view/automatic-prompt-engineer?pli=1) - [BERTese: Learning to Speak to BERT](https://aclanthology.org/2021.eacl-main.316/) + - [Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity](https://arxiv.org/abs/2104.08786) - [Large Language Models are Zero-Shot Reasoners](https://arxiv.org/abs/2205.11916) - [Structured Prompting: Scaling In-Context Learning to 1,000 Examples](https://arxiv.org/abs/2212.06713) - [Chain of Thought Prompting Elicits Reasoning in Large Language Models](https://arxiv.org/abs/2201.11903)