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@@ -14,6 +14,7 @@ The evaluation dataset is in Chinese, and we used the same language model **RoBE
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  | Model | STS-B(w-avg) | ATEC | BQ | LCQMC | PAWSX | Avg. |
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  |:-----------------------:|:------------:|:-----------:|:----------|:----------|:----------:|:----------:|
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  | [BAAI/bge-large-zh](https://huggingface.co/BAAI/bge-large-zh) | 78.61| -| -| -| -| -|
 
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  | [hellonlp/simcse-large-zh](https://huggingface.co/hellonlp/simcse-roberta-large-zh) | 81.32| -| -| -| -| -|
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  | Model | STS-B(w-avg) | ATEC | BQ | LCQMC | PAWSX | Avg. |
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  |:-----------------------:|:------------:|:-----------:|:----------|:----------|:----------:|:----------:|
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  | [BAAI/bge-large-zh](https://huggingface.co/BAAI/bge-large-zh) | 78.61| -| -| -| -| -|
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+ | [BAAI/bge-large-zh-v1.5](https://huggingface.co/BAAI/bge-large-zh-v1.5) | 79.07| -| -| -| -| -|
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  | [hellonlp/simcse-large-zh](https://huggingface.co/hellonlp/simcse-roberta-large-zh) | 81.32| -| -| -| -| -|
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