Updated papers.en.mdx

pages/papers.en.mdx

@@ -173,6 +173,7 @@ The following are the latest papers (sorted by release date) on prompt engineeri
 
 ## Applications
 
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 - [Graph Neural Prompting with Large Language Models](https://arxiv.org/abs/2309.15427) (September 2023)
 - [Large Language Model Alignment: A Survey](https://arxiv.org/abs/2309.15025) (September 2023)
 - [Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic](https://arxiv.org/abs/2309.13339) (September 2023)
@@ -196,6 +197,8 @@ The following are the latest papers (sorted by release date) on prompt engineeri
 - [PromptTTS++: Controlling Speaker Identity in Prompt-Based Text-to-Speech Using Natural Language Descriptions](https://arxiv.org/abs/2309.08140) (September 2023)
 - [An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing](https://arxiv.org/abs/2309.08008) (September 2023)
 - [Leveraging Contextual Information for Effective Entity Salience Detection](https://arxiv.org/abs/2309.07990) (September 2023)
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+>>>>>>> a7e24ec (Updated papers.en.mdx)
 - [Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts](https://arxiv.org/abs/2309.06135) (September 2023)
 - [PACE: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis](https://arxiv.org/abs/2309.05833) (September 2023)
 - [From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting](https://arxiv.org/abs/2309.04269) (September 2023)