Open-Weight LLMs in Multi-Modal Powertrain Sensor Data: Latency and Detection Performance Trade-offs

This report synthesises findings from 12 peer-reviewed papers addressing the following research question: How do open-weight LLMs compare in inference latency versus detection F1-score when processing multi-modal sensor data from powertrain systems. 12 claims were extracted from source literature; 11 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 open-weight LLMs compare in inference latency versus detection F1-score when processing multi-modal sensor data from powertrain systems?

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