Fine-tuning 7B code LLMs on a custom multi-file DSL dataset achieves structural fidelity of 1.00, high exact-match accuracy, and practical utility validated by expert survey and execution checks.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
Multi-agent LLMs with human verification can generate formal representations of GDPR provisions, but structured oversight is required to handle legal nuances effectively.
citing papers explorer
-
Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study
Fine-tuning 7B code LLMs on a custom multi-file DSL dataset achieves structural fidelity of 1.00, high exact-match accuracy, and practical utility validated by expert survey and execution checks.
-
GDPR Auto-Formalization with AI Agents and Human Verification
Multi-agent LLMs with human verification can generate formal representations of GDPR provisions, but structured oversight is required to handle legal nuances effectively.