From 842c7fa8987dad6bb29c021878c264f9388745a2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Chu=C3=A1nq=C3=AD=20Sun?=
 <1895289+chuanqisun@users.noreply.github.com>
Date: Tue, 24 Jan 2023 15:45:56 -0800
Subject: [PATCH] Remove a duplicated entry

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 README.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/README.md b/README.md
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@@ -32,7 +32,6 @@ This guide contains a set of papers, learning guides, and tools related to promp
   - [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/)
   - [Batch Prompting: Efficient Inference with LLM APIs](https://arxiv.org/abs/2301.08721)
-  - [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)
   - [Decomposed Prompting: A Modular Approach for Solving Complex Tasks](https://arxiv.org/abs/2210.02406)
   - [Successive Prompting for Decomposing Complex Questions](https://arxiv.org/abs/2212.04092)