[Doc] Update README (#582)

README.md

@@ -38,15 +38,15 @@ Just like a compass guides us on our journey, OpenCompass will guide you through
 
 ## 🚀 What's New <a><img width="35" height="20" src="https://user-images.githubusercontent.com/12782558/212848161-5e783dd6-11e8-4fe0-bbba-39ffb77730be.png"></a>
 
+- **\[2023.11.13\]** We are delighted to announce the release of OpenCompass v0.1.8. This version enables local loading of evaluation benchmarks, thereby eliminating the need for an internet connection. Please note that with this update, **you must re-download all evaluation datasets** to ensure accurate and up-to-date results.🔥🔥🔥.
 - **\[2023.11.06\]** We have supported several API-based models, include  ChatGLM Pro@Zhipu, ABAB-Chat@MiniMax and Xunfei. Welcome to [Models](https://opencompass.readthedocs.io/en/latest/user_guides/models.html) section for more details. 🔥🔥🔥.
 - **\[2023.10.24\]** We release a new benchmark for evaluating LLMs’ capabilities of having multi-turn dialogues. Welcome to [BotChat](https://github.com/open-compass/BotChat) for more details. 🔥🔥🔥.
 - **\[2023.09.26\]** We update the leaderboard with [Qwen](https://github.com/QwenLM/Qwen), one of the best-performing open-source models currently available, welcome to our [homepage](https://opencompass.org.cn) for more details. 🔥🔥🔥.
-- **\[2023.09.20\]** We update the leaderboard with [InternLM-20B](https://github.com/InternLM/InternLM), welcome to our [homepage](https://opencompass.org.cn) for more details. 🔥🔥🔥.
+- **\[2023.09.20\]** We update the leaderboard with [InternLM-20B](https://github.com/InternLM/InternLM), welcome to our [homepage](https://opencompass.org.cn) for more details.
 - **\[2023.09.19\]** We update the leaderboard with WeMix-LLaMA2-70B/Phi-1.5-1.3B, welcome to our [homepage](https://opencompass.org.cn) for more details.
 - **\[2023.09.18\]** We have released [long context evaluation guidance](docs/en/advanced_guides/longeval.md).
 - **\[2023.09.08\]** We update the leaderboard with Baichuan-2/Tigerbot-2/Vicuna-v1.5, welcome to our [homepage](https://opencompass.org.cn) for more details.
 - **\[2023.09.06\]**  [**Baichuan2**](https://github.com/baichuan-inc/Baichuan2) team adpots OpenCompass to evaluate their models systematically. We deeply appreciate the community's dedication to transparency and reproducibility in LLM evaluation.
-- **\[2023.09.02\]** We have supported the evaluation of [Qwen-VL](https://github.com/QwenLM/Qwen-VL) in OpenCompass.
 
 > [More](docs/en/notes/news.md)
 

README_zh-CN.md

@@ -38,15 +38,15 @@
 
 ## 🚀 最新进展 <a><img width="35" height="20" src="https://user-images.githubusercontent.com/12782558/212848161-5e783dd6-11e8-4fe0-bbba-39ffb77730be.png"></a>
 
+- **\[2023.11.13\]** 我们很高兴地宣布发布 OpenCompass v0.1.8 版本。此版本支持本地加载评估基准，从而无需连接互联网。请注意，随着此更新的发布，**您需要重新下载所有评估数据集**，以确保结果准确且最新。🔥🔥🔥。
 - **\[2023.11.06\]** 我们已经支持了多个基于 API 的模型，包括ChatGLM Pro@智谱清言、ABAB-Chat@MiniMax 和讯飞。欢迎查看 [模型](https://opencompass.readthedocs.io/en/latest/user_guides/models.html) 部分以获取更多详细信息。🔥🔥🔥。
 - **\[2023.10.24\]** 我们发布了一个全新的评测集，BotChat，用于评估大语言模型的多轮对话能力，欢迎查看 [BotChat](https://github.com/open-compass/BotChat) 获取更多信息. 🔥🔥🔥.
 - **\[2023.09.26\]** 我们在评测榜单上更新了[Qwen](https://github.com/QwenLM/Qwen), 这是目前表现最好的开源模型之一, 欢迎访问[官方网站](https://opencompass.org.cn)获取详情.🔥🔥🔥.
-- **\[2023.09.20\]** 我们在评测榜单上更新了[InternLM-20B](https://github.com/InternLM/InternLM), 欢迎访问[官方网站](https://opencompass.org.cn)获取详情.🔥🔥🔥.
+- **\[2023.09.20\]** 我们在评测榜单上更新了[InternLM-20B](https://github.com/InternLM/InternLM), 欢迎访问[官方网站](https://opencompass.org.cn)获取详情.
 - **\[2023.09.19\]** 我们在评测榜单上更新了WeMix-LLaMA2-70B/Phi-1.5-1.3B, 欢迎访问[官方网站](https://opencompass.org.cn)获取详情.
 - **\[2023.09.18\]** 我们发布了[长文本评测指引](docs/zh_cn/advanced_guides/longeval.md).
 - **\[2023.09.08\]** 我们在评测榜单上更新了Baichuan-2/Tigerbot-2/Vicuna-v1.5, 欢迎访问[官方网站](https://opencompass.org.cn)获取详情。
 - **\[2023.09.06\]** 欢迎 [**Baichuan2**](https://github.com/baichuan-inc/Baichuan2) 团队采用OpenCompass对模型进行系统评估。我们非常感谢社区在提升LLM评估的透明度和可复现性上所做的努力。
-- **\[2023.09.02\]** 我们加入了[Qwen-VL](https://github.com/QwenLM/Qwen-VL)的评测支持。
 
 > [更多](docs/zh_cn/notes/news.md)
 

docs/en/notes/news.md

 # News
 
+- **\[2023.09.02\]** We have supported the evaluation of [Qwen-VL](https://github.com/QwenLM/Qwen-VL) in OpenCompass.
 - **\[2023.08.25\]**  [**TigerBot**](https://github.com/TigerResearch/TigerBot) team adpots OpenCompass to evaluate their models systematically. We deeply appreciate the community's dedication to transparency and reproducibility in LLM evaluation.
 - **\[2023.08.21\]** [**Lagent**](https://github.com/InternLM/lagent) has been released, which is a lightweight framework for building LLM-based agents. We are working with Lagent team to support the evaluation of general tool-use capability, stay tuned!
 - **\[2023.08.18\]** We have supported evaluation for **multi-modality learning**, include **MMBench, SEED-Bench, COCO-Caption, Flickr-30K, OCR-VQA, ScienceQA** and so on. Leaderboard is on the road. Feel free to try multi-modality evaluation with  OpenCompass !

docs/zh_cn/notes/news.md

 # 新闻
 
+- **\[2023.09.02\]** 我们加入了[Qwen-VL](https://github.com/QwenLM/Qwen-VL)的评测支持。
 - **\[2023.08.25\]** 欢迎 [**TigerBot**](https://github.com/TigerResearch/TigerBot) 团队采用OpenCompass对模型进行系统评估。我们非常感谢社区在提升LLM评估的透明度和可复现性上所做的努力。
 - **\[2023.08.21\]** [**Lagent**](https://github.com/InternLM/lagent) 正式发布，它是一个轻量级、开源的基于大语言模型的智能体（agent）框架。我们正与Lagent团队紧密合作，推进支持基于Lagent的大模型工具能力评测 !
 - **\[2023.08.18\]** OpenCompass现已支持**多模态评测**，支持10+多模态评测数据集，包括 **MMBench, SEED-Bench, COCO-Caption, Flickr-30K, OCR-VQA, ScienceQA** 等. 多模态评测榜单即将上线，敬请期待!