Monolingual Portuguese and Multilingual LLMs on Non-English Reasoning Benchmarks

Abstract

Abstract: This report synthesises findings from 15 peer-reviewed papers addressing the following research question: What is the performance gap between monolingual Portuguese LLMs and multilingual models (e.g., Qwen2.5-72B) on MATH-PT, and does this gap persist when evaluating on other non-English reasoning. 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. 7 claims were extracted from source literature; 7 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 7.5/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research Question

What is the performance gap between monolingual Portuguese LLMs and multilingual models (e.g., Qwen2.5-72B) on MATH-PT, and does this gap persist when evaluating on other non-English reasoning benchmarks?

Verification Level

Descriptive public verification status only; aggregate claim counts are public, but individual claim records are not exposed here.

Quality Tier

Descriptive public triage only; this tier does not alter current publication or DOI behavior.

Quality Dimensions

Automated triage signals derived from public fields; not human peer review or independent validation.

Correction Record

Public corrections are additive records. Current status does not claim the synthesis is error-free.

Provenance