chore: update readme

README.md

@@ -20,7 +20,7 @@
 | 2405.01116 | ["在上下文学习"或：我如何学会不再担心并热爱"应用信息检索"](https://1openwindow.github.io/llm-chinese-essay/essay/2405_01116v1/) | ["In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval"](https://arxiv.org/html/2405.01116v1/) | 2024-05-02 |
 | 2404.17513 | [对大型语言模型的事件推理进行全面评估](https://1openwindow.github.io/llm-chinese-essay/essay/2404_17513v1/) | [A Comprehensive Evaluation on Event Reasoning of Large Language Models](https://arxiv.org/html/2404.17513v1/) | 2024-04-26 |
 | 2404.14387 | [大语言模型自我进化调查](https://1openwindow.github.io/llm-chinese-essay/essay/2404_14387v1/) | [A Survey on Self-Evolution of Large Language Models](https://arxiv.org/html/2404.14387v1/) | 2024-04-23 |
-| 2404.15206 | [指导微调是否使LLMs更加一致？](https://1openwindow.github.io/llm-chinese-essay/essay/2404_15206v1/) | [A Survey on Self-Evolution of Large Language Models](https://arxiv.org/html/2404.15206v1/) | 2024-04-23 |
+| 2404.15206 | [指导微调是否使LLMs更加一致？](https://1openwindow.github.io/llm-chinese-essay/essay/2404_15206v1/) | [Does Instruction Tuning Make LLMs More Consistent?](https://arxiv.org/html/2404.15206v1/) | 2024-04-23 |
 | 2404.14043 | [LLMs知道他们需要什么：利用缺失信息引导框架来增强检索增强生成](https://1openwindow.github.io/llm-chinese-essay/essay/2404_14043v1/) | [LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation](https://arxiv.org/html/2404.14043v1/) | 2024-04-22 |
 | 2404.13033 | [样本设计工程：LLM下游微调的良好样本的实证研究](https://1openwindow.github.io/llm-chinese-essay/essay/2404_13033v1/) | [Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMs](https://arxiv.org/html/2404.13033v1) | 2024-04-19 |
 | 2404.07749 | [注释作为自然逻辑的中心：通过注释视角改进代码生成](https://1openwindow.github.io/llm-chinese-essay/essay/2404_07549v1/) | [Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective](https://arxiv.org/html/2404.07549v1) | 2024-04-11 |