AINeutralarXiv – CS AI · 9h ago6/10
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ARMOR: An Agentic Framework for Reaction Feasibility Prediction via Adaptive Utility-aware Multi-tool Reasoning
Researchers introduce ARMOR, an agentic framework that improves chemical reaction feasibility prediction by intelligently combining multiple AI tools rather than relying on single models. The system uses hierarchical tool organization and memory-augmented reasoning to resolve conflicting predictions, demonstrating significant performance gains especially when different tools disagree on outcomes.