update README

README.md

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 ## 🆕 News
 
+- **[2024-03-28]** Now you can use local OpenSource LLMs as the answer extractor or judge (see [**#132**](https://github.com/open-compass/VLMEvalKit/pull/132) for details). Great thanks to [**StarCycle**](https://github.com/StarCycle) 🔥🔥🔥
 - **[2024-03-22]** We have supported [**LLaVA-NeXT**](https://llava-vl.github.io/blog/2024-01-30-llava-next/) 🔥🔥🔥
 - **[2024-03-21]** We have supported [**DeepSeek-VL**](https://github.com/deepseek-ai/DeepSeek-VL/tree/main) 🔥🔥🔥
 - **[2024-03-20]** We have supported users to use a `.env` file to manage all environment variables used in VLMEvalKit, see [**Quickstart**](\Quickstart.md) for more details
@@ -28,8 +29,7 @@
 - **[2024-02-27]** We have fixed the evaluation results of [**Yi-VL-34B**](https://huggingface.co/01-ai/Yi-VL-34B), check the updated results [**here**](https://huggingface.co/spaces/opencompass/open_vlm_leaderboard) 🔥🔥🔥
 - **[2024-02-25]** We have supported [**OCRBench**](https://github.com/Yuliang-Liu/MultimodalOCR)🔥🔥🔥
 - **[2024-02-24]** We have supported [**InternVL-Chat Series**](https://github.com/OpenGVLab/InternVL). The models achieve over 80% Top-1 accuracies on MMBench v1.0 [[**Blog**](https://github.com/OpenGVLab/InternVL/blob/main/BLOG.md)] 🔥🔥🔥
-- **[2024-02-07]** We have supported two new models: [**MiniCPM-V**](https://huggingface.co/openbmb/MiniCPM-V) and [**OmniLMM-12B**](https://huggingface.co/openbmb/OmniLMM-12B). 🔥🔥🔥
-- **[2024-01-30]** We have supported three new models: [**QwenVLMax**](https://huggingface.co/spaces/Qwen/Qwen-VL-Max), [**InternLM-XComposer2-7B**](https://huggingface.co/internlm/internlm-xcomposer2-vl-7b), [**MMAlaya**](https://huggingface.co/DataCanvas/MMAlaya) 🔥🔥🔥
+- **[2024-02-07]** We have supported two new models: [**MiniCPM-V**](https://huggingface.co/openbmb/MiniCPM-V) and [**OmniLMM-12B**](https://huggingface.co/openbmb/OmniLMM-12B) 🔥🔥🔥
 
 
 ## 📊 Datasets, Models, and Evaluation Results