Scaling Laws of Video-JEPA and Multimodal Models in Cross-Modal Retrieval Benchmarks

This report synthesises findings from 8 peer-reviewed papers addressing the following research question: How do the scaling laws of Video-JEPA's downstream performance compare to those of multimodal models (e.g., Video-LLaMA) when evaluated on cross-modal retrieval benchmarks like ActivityNet-Captions. 9 claims were extracted from source literature; 9 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 7.7/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: How do the scaling laws of Video-JEPA's downstream performance compare to those of multimodal models (e.g., Video-LLaMA) when evaluated on cross-modal retrieval benchmarks like ActivityNet-Captions?

Autonomous literature synthesis. Automated review score: 7.7/10. Full text and citation available at Assignee Research.