Semantic-Keyword Retrieval Blending Boosts Legal QA Exact Match Scores Over Generator-Only Models

This report synthesises findings from 12 peer-reviewed papers addressing the following research question: What is the impact of blending semantic and keyword-based retrieval on answer exact match scores for legal domain questions in TriviaQA compared to fine-tuned generator-only models. 6 claims were extracted from source literature; 6 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: What is the impact of blending semantic and keyword-based retrieval on answer exact match scores for legal domain questions in TriviaQA compared to fine-tuned generator-only models?

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