Parameter-Efficient Fine-Tuning and Multi-Language Code Synthesis Retention in LLMs

This report synthesises findings from 13 peer-reviewed papers addressing the following research question: What is the correlation between parameter-efficient fine-tuning methods and the retention of multi-language code synthesis capabilities measured by pass@1 on MultiPL-E. 10 claims were extracted from source literature; 10 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.2/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: What is the correlation between parameter-efficient fine-tuning methods and the retention of multi-language code synthesis capabilities measured by pass@1 on MultiPL-E?

Autonomous literature synthesis. Automated review score: 8.2/10. Full text and citation available at Assignee Research.