@@ -34,9 +34,12 @@ Just like a compass guides us on our journey, OpenCompass will guide you through
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@@ -34,9 +34,12 @@ 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>
## 🚀 What's New <a><img width="35" height="20" src="https://user-images.githubusercontent.com/12782558/212848161-5e783dd6-11e8-4fe0-bbba-39ffb77730be.png"></a>
-**\[2023.09.08\]** 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.
-**\[2023.08.25\]**[**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.
-**\[2023.08.25\]**[**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! 🔥🔥🔥.
-**\[2023.08.21\]**[**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 ! 🔥🔥🔥.
-**\[2023.08.18\]** 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 !
-**\[2023.08.18\]**[Dataset card](https://opencompass.org.cn/dataset-detail/MMLU) is now online. Welcome new evaluation benchmark OpenCompass !
-**\[2023.08.18\]**[Dataset card](https://opencompass.org.cn/dataset-detail/MMLU) is now online. Welcome new evaluation benchmark OpenCompass !
-**\[2023.08.11\]**[Model comparison](https://opencompass.org.cn/model-compare/GPT-4,ChatGPT,LLaMA-2-70B,LLaMA-65B) is now online. We hope this feature offers deeper insights!
-**\[2023.08.11\]**[Model comparison](https://opencompass.org.cn/model-compare/GPT-4,ChatGPT,LLaMA-2-70B,LLaMA-65B) is now online. We hope this feature offers deeper insights!
-**\[2023.08.11\]** We have supported [LEval](https://github.com/OpenLMLab/LEval).
-**\[2023.08.11\]** We have supported [LEval](https://github.com/OpenLMLab/LEval).