Updated papers.en.mdx

pages/papers.en.mdx

@@ -22,6 +22,7 @@ The following are the latest papers (sorted by release date) on prompt engineeri
 
 ## Approaches
 
+- [Re-Reading Improves Reasoning in Language Models](https://arxiv.org/abs/2309.06275) (September 2023)
 - [Graph of Thoughts: Solving Elaborate Problems with Large Language Models](https://arxiv.org/abs/2308.09687v2) (August 2023)
 - [Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding](https://arxiv.org/abs/2307.15337) (July 2023)
 - [Focused Prefix Tuning for Controllable Text Generation](https://arxiv.org/abs/2306.00369) (June 2023)
@@ -169,6 +170,10 @@ The following are the latest papers (sorted by release date) on prompt engineeri
 
 ## Applications
 
+- [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)
+- [Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models](https://arxiv.org/abs/2309.04461) (September 2023)
 - [Zero-Resource Hallucination Prevention for Large Language Models](https://arxiv.org/abs/2309.02654) (September 2023)
 - [Certifying LLM Safety against Adversarial Prompting](https://arxiv.org/abs/2309.02772) (September 2023)
 - [Improving Code Generation by Dynamic Temperature Sampling](https://arxiv.org/abs/2309.02772) (September 2023)