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@ -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)