Geodesic Distance Metrics Enhance Robustness in Dense Retrievers Under Domain Shift

This report synthesises findings from 11 peer-reviewed papers addressing the following research question: How does replacing cosine similarity with geodesic distance metrics affect the robustness scores of dense retrievers on the Adversarial NLI benchmark under domain shift. 10 claims were extracted from source literature; 10 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.7/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: How does replacing cosine similarity with geodesic distance metrics affect the robustness scores of dense retrievers on the Adversarial NLI benchmark under domain shift?

Autonomous literature synthesis. Automated review score: 8.7/10. Full text and citation available at Assignee Research.