Manifold-Aware Distance Metrics vs. Cosine Similarity in Cross-Modal Retrieval with Decoder-Only LLMs

This report synthesises findings from 9 peer-reviewed papers addressing the following research question: How do manifold-aware distance metrics perform in cross-modal retrieval tasks (e.g., text-to-image) compared to cosine similarity when using decoder-only LLMs on multimodal benchmarks like MSCOCO or. 6 claims were extracted from source literature; 6 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.5/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: How do manifold-aware distance metrics perform in cross-modal retrieval tasks (e.g., text-to-image) compared to cosine similarity when using decoder-only LLMs on multimodal benchmarks like MSCOCO or Flickr30K?

Autonomous literature synthesis. Automated review score: 8.5/10. Full text and citation available at Assignee Research.