Robustness of DPO-Aligned vs. SFT-Only Models in Hate Speech Detection for Iberian Languages

This report synthesises findings from 4 peer-reviewed papers addressing the following research question: What is the impact of dataset size and diversity on the robustness of DPO-aligned models vs. SFT-only models for hate speech detection in under-represented Iberian languages, as measured by accuracy. 12 claims were extracted from source literature; 12 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.5/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: What is the impact of dataset size and diversity on the robustness of DPO-aligned models vs. SFT-only models for hate speech detection in under-represented Iberian languages, as measured by accuracy on the MultiHate benchmark?

Autonomous literature synthesis. Automated review score: 8.5/10. Full text and citation available at Assignee Research.