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@@ -206,8 +206,7 @@ Following the training approach used in dragonkue/snowflake-arctic-embed-l-v2.0-
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  This margin-based approach extends the idea proposed in the NV-Retriever paper, which originally filtered false negatives during hard negative sampling.
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  We adapt this to in-batch negatives, treating false negatives as dynamic samples guided by margin-based filtering.
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- <img src="https://cdn-uploads.huggingface.co/production/uploads/642b0c2fecec03b4464a1d9b/Orr03zyVerBU_B6Vkesgl.png" width="800"/>
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  The sentence-transformers library now supports GISTEmbedLoss with margin configuration, making it easy to integrate into any training pipeline.
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  This margin-based approach extends the idea proposed in the NV-Retriever paper, which originally filtered false negatives during hard negative sampling.
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  We adapt this to in-batch negatives, treating false negatives as dynamic samples guided by margin-based filtering.
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/642b0c2fecec03b4464a1d9b/IpDDTshuZ5noxPOdm6gVk.png" width="800"/>
 
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  The sentence-transformers library now supports GISTEmbedLoss with margin configuration, making it easy to integrate into any training pipeline.
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