{"version":1,"type":"story","url":"https://digestai.news/story/marq-infuses-se-knowledge-into-llms-for-re","json":"https://digestai.news/story/marq-infuses-se-knowledge-into-llms-for-re.json","markdown":"https://digestai.news/story/marq-infuses-se-knowledge-into-llms-for-re.md","slug":"marq-infuses-se-knowledge-into-llms-for-re","headline":"MARQ infuses SE knowledge into LLMs for RE","summary":"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 median F1 scores of 0.80 for Claude Opus 5, 0.62 for GPT-5.6 Sol, and 0.53 for Gemma 3 12B, compared to off-the-shelf baselines of 0.55, 0.52, and 0.18 respectively.","keyPoints":["MARQ infuses SE knowledge into LLMs","Evaluations against off-the-shelf models conducted","Gains in defect detection and false-alarm control observed"],"whyItMatters":"These findings suggest that incorporating expert-derived SE knowledge can significantly improve the performance of LLM-based requirement quality assessment, potentially enhancing trustworthy AI support for systems engineering.","category":{"slug":"research","name":"Research","url":"https://digestai.news/category/research"},"entities":{"companies":["OpenAI","Anthropic"],"models":["Claude Opus 5","GPT-5.6 Sol","Gemma 3 12B"],"people":[]},"firstPublishedAt":"2026-10-28T04:00:00Z","updatedAt":"2026-10-28T04:00:00Z","sourceCount":1,"hasPrimarySource":true,"sources":[{"outlet":"arXiv cs.AI","title":"MARQ: A Modular, LLM-Agnostic Requirement Quality Assessor Infused with Systems Engineering Knowledge","url":"https://arxiv.org/abs/2610.36234","publishedAt":"2026-10-28T04:00:00Z","type":"primary","primary":true,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"MARQ infuses SE knowledge into LLMs for RE\", 28 October 2026, https://digestai.news/story/marq-infuses-se-knowledge-into-llms-for-re","publisher":"Digest AI","title":"MARQ infuses SE knowledge into LLMs for RE","datePublished":"2026-10-28T04:00:00Z","url":"https://digestai.news/story/marq-infuses-se-knowledge-into-llms-for-re"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}