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Research Article
RAGulating Compliance: A Multi-Agent Knowledge Graph for Regulatory QA
By Bhavik Agarwal, Hemant Sunil Jomraj, Simone Kaplunov, Jack Krolick, Viktoria Rojkova Published: Aug 2025 | arXiv:2508.09893 Overview This paper introduces a multi-agent architecture that combines an ontology-free Knowledge Graph (KG) with Retrieval-Augmented Generation (RAG) to answer complex regulatory compliance questions. The system extracts subject–predicate–object (SPO) triplets from regulatory documents, embeds them alongside their original text, and retrieves them
Aug 25, 20252 min read
Simulating Human Like Learning Dynamics with LLM-Empowered Agents
This paper introduces LearnerAgent, a simulation framework built on large language models to investigate how learning behaviours evolve over time.
Aug 14, 20252 min read
A Watermark for Large Language Models
By John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein Published: May 2024 | arXiv:2301.10226v4 Overview...
Aug 12, 20253 min read
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