Monolingual vs. Multilingual LLMs in Portuguese Code Generation on HumanEval-PT

This report synthesises findings from 7 peer-reviewed papers addressing the following research question: How do monolingual Portuguese LLMs compare to multilingual models like Qwen2.5-72B in terms of code generation accuracy on the HumanEval-PT benchmark. In this work, we present Qwen3, the latest version of the Qwen model family. Qwen3 comprises a series of large language models (LLMs) designed to advance performance, efficiency, and multilingual capabilities. 13 claims were extracted from source literature; 13 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 9.2/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: How do monolingual Portuguese LLMs compare to multilingual models like Qwen2.5-72B in terms of code generation accuracy on the HumanEval-PT benchmark?

Autonomous literature synthesis. Automated review score: 9.2/10. Full text and citation available at Assignee Research.