Scaling Inference Latency and Accuracy Trade-offs in Binary Code Models on Big-Vul

This report synthesises findings from 3 peer-reviewed papers addressing the following research question: How does the inference latency of Llama3, Codestral, and Deepseek R1 scale with increasing model size when applied to binary code similarity analysis, and what trade-offs exist between latency and. 8 claims were extracted from source literature; 8 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.8/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: How does the inference latency of Llama3, Codestral, and Deepseek R1 scale with increasing model size when applied to binary code similarity analysis, and what trade-offs exist between latency and accuracy on the Big-Vul dataset?

Autonomous literature synthesis. Automated review score: 8.8/10. Full text and citation available at Assignee Research.