3 articles tagged with #agentic-framework. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
Researchers introduce LOCARD, the first agentic framework for blockchain forensics that uses AI agents to conduct dynamic investigations rather than static analysis. The framework successfully traced complex cross-chain transactions in a dataset of over 151k real-world forensic records, demonstrating its effectiveness on laundering patterns from the Bybit hack.
Researchers propose an AI economist agent that combines large language models with knowledge graphs and retrieval-augmented generation (RAG) to produce grounded economic analyses. Rather than relying solely on LLM-generated narratives, the framework grounds economic claims in explicit model-based computations and retrieved evidence, tested on inflation analysis and bank stress-testing scenarios.
Researchers introduce CARE, an evidence-grounded agentic framework for medical AI that improves clinical accountability by decomposing tasks into specialized modules rather than using black-box models. The system achieves 10.9% better accuracy than state-of-the-art models by incorporating explicit visual evidence and coordinated reasoning that mimics clinical workflows.
