From f173d6b7afe064b7d7296dbbbb100004101fff88 Mon Sep 17 00:00:00 2001 From: Elvis Saravia Date: Sat, 28 Jan 2023 14:26:52 -0600 Subject: [PATCH] Update README.md --- README.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index f2434a3..e775e6f 100644 --- a/README.md +++ b/README.md @@ -14,16 +14,16 @@ This guide contains a set of papers, learning guides, and tools related to promp ## Papers - Surveys / Overviews: - - [Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://arxiv.org/abs/2107.13586) - - [A Taxonomy of Prompt Modifiers for Text-To-Image Generation](https://arxiv.org/abs/2204.13988) - - [Emergent Abilities of Large Language Models](https://arxiv.org/abs/2206.07682) - - [A Survey for In-context Learning](https://arxiv.org/pdf/2301.00234.pdf) + - [A Survey for In-context Learning](https://arxiv.org/abs/2301.00234) (Dec 2022) + - [Emergent Abilities of Large Language Models](https://arxiv.org/abs/2206.07682) (Jun 2022) + - [A Taxonomy of Prompt Modifiers for Text-To-Image Generation](https://arxiv.org/abs/2204.13988) (Apr 2022) + - [Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://arxiv.org/abs/2107.13586) (Jul 2021) - Applications: - - [Legal Prompt Engineering for Multilingual Legal Judgement Prediction](https://arxiv.org/abs/2212.02199) - - [Investigating Prompt Engineering in Diffusion Models](https://arxiv.org/abs/2211.15462) - - [Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language](https://arxiv.org/abs/2210.15157) - - [Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black Magic?](https://arxiv.org/abs/2210.14699) + - [Legal Prompt Engineering for Multilingual Legal Judgement Prediction](https://arxiv.org/abs/2212.02199) (Dec 2022) + - [Investigating Prompt Engineering in Diffusion Models](https://arxiv.org/abs/2211.15462) (Nov 2022) + - [Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language](https://arxiv.org/abs/2210.15157) (Oct 2022) + - [Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black Magic?](https://arxiv.org/abs/2210.14699) (Oct 2022) - Approaches/Techniques: - [Batch Prompting: Efficient Inference with LLM APIs](https://arxiv.org/abs/2301.08721) (Jan 2023)