Capability
Cross Lingual Semantic Matching And Retrieval
20 artifacts provide this capability.
Want a personalized recommendation?
Find the best match →Top Matches
1
all-mpnet-base-v2Model53/100
via “cross-lingual-semantic-matching”
sentence-similarity model by undefined. 3,42,53,353 downloads.
Unique: Trained with in-batch negatives and hard negative mining on 215M+ pairs including adversarial examples (MS MARCO hard negatives, StackExchange duplicate detection), producing embeddings optimized for ranking-aware similarity rather than generic semantic distance
vs others: Achieves higher ranking accuracy than Sentence-BERT-base (NDCG@10: 0.68 vs 0.61) on MS MARCO while maintaining 2.5x faster inference than cross-encoder rerankers due to symmetric embedding computation