Retrieval-Augmented Domain-Adapted 3B Models Enhance Multi-Hop QA Robustness

This report synthesises findings from 9 peer-reviewed papers addressing the following research question: Does combining retrieval augmentation with domain-adapted 3B models improve robustness against distractor contexts in multi-hop QA tasks relative to larger non-retrieval models. 10 claims were extracted from source literature; 10 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 9.0/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: Does combining retrieval augmentation with domain-adapted 3B models improve robustness against distractor contexts in multi-hop QA tasks relative to larger non-retrieval models?

Autonomous literature synthesis. Automated review score: 9.0/10. Full text and citation available at Assignee Research.