RegReAct deploys self-correcting multi-agent pipelines across seven stages to extract hierarchical compliance criteria from regulatory texts, outperforming single-pass GPT-4o on EU Taxonomy documents.
European Commission
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
An LLM-guided safety agent on dual-modular redundant edge hardware demonstrates a practical path to ISO 13849 Category 3 and PL d compliance for human-robot interaction using cost-effective platforms.
citing papers explorer
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REGREACT: Self-Correcting Multi-Agent Pipelines for Structured Regulatory Information Extraction
RegReAct deploys self-correcting multi-agent pipelines across seven stages to extract hierarchical compliance criteria from regulatory texts, outperforming single-pass GPT-4o on EU Taxonomy documents.
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LLM-Guided Safety Agent for Edge Robotics with an ISO-Compliant Perception-Compute-Control Architecture
An LLM-guided safety agent on dual-modular redundant edge hardware demonstrates a practical path to ISO 13849 Category 3 and PL d compliance for human-robot interaction using cost-effective platforms.