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update papers list in papers.en.mdx

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@ -4,6 +4,7 @@ The following are the latest papers (sorted by release date) on prompt engineeri
## Overviews
- [An RL Perspective on RLHF, Prompting, and Beyond](https://arxiv.org/abs/2310.06147) (October 2023)
- [Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation](https://arxiv.org/abs/2305.16938) (May 2023)
- [Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study](https://arxiv.org/abs/2305.13860) (May 2023)
- [Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond](https://arxiv.org/abs/2304.13712) (April 2023)
@ -22,6 +23,7 @@ The following are the latest papers (sorted by release date) on prompt engineeri
## Approaches
- [Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL](https://arxiv.org/abs/2309.06653) (September 2023)
- [Chain-of-Verification Reduces Hallucination in Large Language Models](https://arxiv.org/abs/2309.11495) (September 2023)
- [Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers](https://arxiv.org/abs/2309.08532) (September 2023)
- [From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting](https://arxiv.org/abs/2309.04269) (September 2023)