MARQ infuses SE knowledge into LLMs for RE
This study introduces MARQ, a modular prototype that supplements large language models (LLMs) with expert-derived systems engineering (SE) knowledge to improve requirement quality assessment. The team evaluated MARQ against off-the-shelf baselines on an expert-labeled NASA requirement set using Claude Opus 5, GPT-5.6 Sol, and Gemma 3 12B, each tested 100 times. Results showed that MARQ achieved…
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Key points
- MARQ infuses SE knowledge into LLMs
- Evaluations against off-the-shelf models conducted
- Gains in defect detection and false-alarm control observed
Model page: GPT-5.6 Sol →
Read the original at arXiv cs.AI · by Jannatul Shefa, Alejandro Salado, Paul Wach, Taylan G. Topcu primary sourceOpen source ↗
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