A reranker fine-tuned on hard negatives selected by two cosine-distance criteria outperforms older negative sampling methods on enterprise and domain-specific retrieval benchmarks.
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Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems
A reranker fine-tuned on hard negatives selected by two cosine-distance criteria outperforms older negative sampling methods on enterprise and domain-specific retrieval benchmarks.