Contrastive Loss Functions in Hyperbolic and Euclidean Embeddings for Cross-Lingual Retrieval

This report synthesises findings from 7 peer-reviewed papers addressing the following research question: What is the impact of different contrastive loss functions (e.g., InfoNCE, SupCon) on the performance of hyperbolic vs. Euclidean embeddings for cross-lingual retrieval in XOR-TyDi QA, evaluated with. 8 claims were extracted from source literature; 8 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.8/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: What is the impact of different contrastive loss functions (e.g., InfoNCE, SupCon) on the performance of hyperbolic vs. Euclidean embeddings for cross-lingual retrieval in XOR-TyDi QA, evaluated with recall@k and NDCG?

Autonomous literature synthesis. Automated review score: 8.8/10. Full text and citation available at Assignee Research.