Transformer-Based Multimodal Models vs. Decoder-Only LLMs in Cross-Modal Retrieval Performance

This report synthesises findings from 12 peer-reviewed papers addressing the following research question: How do transformer-based multimodal models compare to decoder-only LLMs in cross-modal retrieval tasks on MSCOCO and Flickr30K when using manifold-aware distance metrics versus cosine similarity for. 9 claims were extracted from source literature; 9 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 do transformer-based multimodal models compare to decoder-only LLMs in cross-modal retrieval tasks on MSCOCO and Flickr30K when using manifold-aware distance metrics versus cosine similarity for downstream performance?

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