charm is supported by opencompass

README.md

@@ -84,14 +84,12 @@
 
 
 ## 🚀 What's New
+- **[2024.7.26]** All inference and evaluation of CHARM are supported by [Opencompass](https://github.com/open-compass/opencompass).🔥🔥🔥
 - **[2024.6.06]** Leaderboard updated! LLaMA-3, GPT-4o, Gemini-1.5, Yi1.5, Qwen1.5, etc. are evaluated.
 - **[2024.5.24]** CHARM has been open-sourced !!! 🔥🔥🔥
 - **[2024.5.15]** CHARM has been accepted to the main conference of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) !!! 🔥🔥🔥
 - **[2024.3.21]** Paper available on [ArXiv](https://arxiv.org/abs/2403.14112).
 
-## 🧾 TODO
-- [ ] Support inference and evaluation on Opencompass.
-
 ## 🛠️ Inference and Evaluation on Opencompass
 Below are the steps for quickly downloading CHARM and using OpenCompass for evaluation.
 

README_ZH.md

@@ -82,14 +82,12 @@
 
 
 ## 🚀 新增功能
+- **[2024.7.26]** [Opencompass](https://github.com/open-compass/opencompass)支持CHARM的所有推理和评测任务.🔥🔥🔥
 - **[2024.6.06]** 更新排行榜，评测了LLaMA-3、GPT-4o、Gemini-1.5、Yi1.5、Qwen1.5等模型.
 - **[2024.5.24]** 开源CHARM数据 !!! 🔥🔥🔥
 - **[2024.5.15]** CHARM已被计算语言学协会第62届年会（ACL 2024）主会议接受！！！ 🔥🔥🔥
 - **[2024.3.21]** 论文发布在 [ArXiv](https://arxiv.org/abs/2403.14112).
 
-## 🧾 待办
-- [ ] 支持在Opencompass上进行推理和评测。
-
 ## 🛠️ 在 Opencompass 上进行推理和评测
 以下是快速下载 CHARM 并在 OpenCompass 上进行评估的步骤。