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@@ -1074,7 +1074,7 @@ library_name: sentence-transformers
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  - For classification/clustering tasks, we sampled 5 hard negative samples from other classes/cluster for each sample.
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  - For classification/clustering tasks, we also used the category names of each class and cluster as positive and negative samples.
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- 2) **Data synthesis by LLM (Qwen1.5-72B)**
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  - For retrieval tasks, we used LLM to rewrite each query, generating five different rewritten results.
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  - For retrieval tasks, we also generated five new queries for some documents by LLM.
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  - For non-retrieval tasks, we used LLM to rewrite the queries, generating five rewritten results for each query.
 
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  - For classification/clustering tasks, we sampled 5 hard negative samples from other classes/cluster for each sample.
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  - For classification/clustering tasks, we also used the category names of each class and cluster as positive and negative samples.
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+ 2) **Data synthesis by LLM (ZPoint-72B)**
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  - For retrieval tasks, we used LLM to rewrite each query, generating five different rewritten results.
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  - For retrieval tasks, we also generated five new queries for some documents by LLM.
1080
  - For non-retrieval tasks, we used LLM to rewrite the queries, generating five rewritten results for each query.