From 2ff2d88f0fa4305e68ecbcf2efd4fa14bd387c61 Mon Sep 17 00:00:00 2001 From: Ritvik19 Date: Sun, 15 Oct 2023 20:52:11 +0530 Subject: [PATCH] Updated papers.en.mdx --- pages/papers.en.mdx | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/pages/papers.en.mdx b/pages/papers.en.mdx index a33a0f7..4315999 100644 --- a/pages/papers.en.mdx +++ b/pages/papers.en.mdx @@ -170,6 +170,11 @@ The following are the latest papers (sorted by release date) on prompt engineeri ## Applications +- [Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation](https://arxiv.org/abs/2310.08395) (October 2023) +- [Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification](https://arxiv.org/abs/2310.08123) (October 2023) +- [Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques](https://arxiv.org/abs/2310.08101) (October 2023) +- [Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models](https://arxiv.org/abs/2310.03965) (October 2023) +- [From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting](https://arxiv.org/abs/2309.04269) (September 2023) - [Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation](https://arxiv.org/abs/2310.02304) (October 2023) - [Think before you speak: Training Language Models With Pause Tokens](https://arxiv.org/abs/2310.02226) (October 2023) - [(Dynamic) Prompting might be all you need to repair Compressed LLMs](https://arxiv.org/abs/2310.00867) (October 2023)