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@@ -97,7 +97,7 @@ FastText has been successfully used in other data-curation pipelines; Qwen used
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  Before deploying these classifiers on the full data, we performed quick validations. We held out a portion of the LLM-labeled data (or did cross-validation) to ensure the fastText model was accurately capturing the LLM’s judgments. In most cases, we observed high accuracy (many domains saw >80–90% precision on the held-out set, since the categories are fairly distinct).
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  ## Citation
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-
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  @article{bajaj2026rexbert,
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  title = {RexBERT: Context Specialized Bidirectional Encoders for E-commerce},
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  author = {Bajaj, Rahul and Garg, Anuj},
@@ -105,4 +105,5 @@ Before deploying these classifiers on the full data, we performed quick validati
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  year = {2026},
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  doi = {10.48550/arXiv.2602.04605},
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  url = {https://arxiv.org/abs/2602.04605}
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- }
 
 
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  Before deploying these classifiers on the full data, we performed quick validations. We held out a portion of the LLM-labeled data (or did cross-validation) to ensure the fastText model was accurately capturing the LLM’s judgments. In most cases, we observed high accuracy (many domains saw >80–90% precision on the held-out set, since the categories are fairly distinct).
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  ## Citation
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+ ```bibtex
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  @article{bajaj2026rexbert,
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  title = {RexBERT: Context Specialized Bidirectional Encoders for E-commerce},
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  author = {Bajaj, Rahul and Garg, Anuj},
 
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  year = {2026},
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  doi = {10.48550/arXiv.2602.04605},
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  url = {https://arxiv.org/abs/2602.04605}
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+ }
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+ ```